creek

commit 2cecc5ea83303efc4d86fb0294f37a49f352a2ea
parent f9da70050ce82ec6ffec8e3365a7d099799c9223
Author: Sanjeebani Parida <sanjeebani14@gmail.com>
Date:   Thu, 27 Nov 2025 08:58:07 +0530

Merge branch 'main' of https://github.com/nilotpal-n7/adobe

Diffstat:

63 files changed, 8947 insertions(+), 1651 deletions(-)
diff --git a/.gitignore b/.gitignore
@@ -1,4 +1,5 @@
 # Miscellaneous
+~*
 *.class
 *.log
 *.pyc
@@ -12,13 +13,13 @@
 .swiftpm/
 migrate_working_dir/
 
-# IntelliJ related
+# IntelliJ
 *.iml
 *.ipr
 *.iws
 .idea/
 
-# Flutter/Dart/Pub related
+# Flutter/Dart/Pub
 **/doc/api/
 **/ios/Flutter/.last_build_id
 .dart_tool/
@@ -29,16 +30,17 @@ migrate_working_dir/
 /build/
 .gradle
 
-# Symbolication related
+# Symbolication
 app.*.symbols
-
-# Obfuscation related
 app.*.map.json
 
-# Android Studio artifacts
+# Android Studio
 /android/app/debug
 /android/app/profile
 /android/app/release
-# Python virtual environment
+
+# Python
 python_env/
-assets/clip_vitb32_image.onnx
-\ No newline at end of file
+
+# AI Models
+assets/*.onnx*
diff --git a/README.md b/README.md
@@ -1,56 +1,49 @@
 # adobe
 
-A Flutter project with Python image analysis using Chaquopy.
+A Flutter project with AI-based image analysis
 
 ## Prerequisites
 
 - Flutter SDK
-- Python 3.11 (for build-time)
+- Python 3.8
+- Kotlin + Gradle
+- JDK
 - Android SDK
 
 ## Setup
 
-### 1. Install Python 3.11
+### 1. Setup Python
+
+#### A) Install Python 3.8
 
 **macOS:**
 
 ```bash
-brew install python@3.11
+brew install python@3.8
 ```
 
 **Linux:**
 
 ```bash
-sudo apt-get install python3.11 python3.11-venv
+sudo apt-get install python3.8 python3.8-venv
 ```
 
 **Windows:**
 Download from [python.org](https://www.python.org/downloads/)
 
-### 2. Set up Python Virtual Environment
-
-Run the setup script to create a Python virtual environment in the repository:
+#### B) Set up Virtual Environment
 
 ```bash
-./setup_python_env.sh
+python -m venv python_env
 ```
 
-This creates a `python_env` directory with Python 3.11, which will be used by the build system. This ensures all developers use the same Python version.
+### 3. AI Models
 
-### 3. Build the APK
+Download the models from [here](https://mega.nz/folder/WghwgRYA#byC4igRSImx0LRd9KW40hw) and place them under `assets`
+
+### 4. Build the APK
 
 ```bash
+flutter clean
 flutter build apk --release
 ```
-
-## Project Structure
-
-- `android/app/src/main/python/` - Python code (image analysis)
-- `python_env/` - Python virtual environment (created by setup script)
-- `lib/` - Flutter/Dart code
-
-## Notes
-
-- The Python runtime version (embedded in the app) is **3.8** (configured in `android/app/build.gradle.kts`)
-- The build-time Python version is **3.11** (from the virtual environment)
-- The virtual environment is used only during build, not at runtime
diff --git a/android/app/build.gradle.kts b/android/app/build.gradle.kts
@@ -28,8 +28,10 @@ android {
         targetCompatibility = JavaVersion.VERSION_17
     }
 
-    kotlinOptions {
-        jvmTarget = JavaVersion.VERSION_17.toString()
+    kotlin {
+        compilerOptions {
+            jvmTarget.set(org.jetbrains.kotlin.gradle.dsl.JvmTarget.JVM_17)
+        }
     }
 
     defaultConfig {
@@ -37,7 +39,7 @@ android {
         applicationId = "com.example.adobe"
         // You can update the following values to match your application needs.
         // For more information, see: https://flutter.dev/to/review-gradle-config.
-        minSdk = flutter.minSdkVersion
+        minSdk = 24
         targetSdk = flutter.targetSdkVersion
         versionCode = flutter.versionCode
         versionName = flutter.versionName
@@ -60,25 +62,16 @@ android {
 chaquopy {
     defaultConfig {
         version = "3.8"
-        
-        // Detect OS
-        val os = System.getProperty("os.name").lowercase()
-        val venvPath = file("../../python_env")
-
-        // Choose correct python path
-        val pythonExe = if (os.contains("win")) {
-            File(venvPath, "Scripts/python.exe").absolutePath
-        } else {
-            File(venvPath, "bin/python").absolutePath
-        }
-
-        buildPython(pythonExe)
-
+        val isWindows = System.getProperty("os.name").lowercase().contains("windows")
+        val pythonFile = if (isWindows) file("../../python_env/Scripts/python.exe") else file("../../python_env/bin/python")
+        buildPython(pythonFile.absolutePath)
         pip {
             install("pillow")
             install("numpy")
-            install("opencv-python-headless")
+            install("opencv-contrib-python-headless")
             install("instaloader")
+            install("scikit-learn")
+            install("joblib")
         }
     }
 }
diff --git a/android/app/proguard-rules.pro b/android/app/proguard-rules.pro
@@ -0,0 +1 @@
+-keep class ai.onnxruntime.** { *; }
diff --git a/android/app/src/main/kotlin/com/example/adobe/ImageAnalyzer.kt b/android/app/src/main/kotlin/com/example/adobe/ImageAnalyzer.kt
@@ -1,24 +1,50 @@
 package com.example.adobe
 
+import android.content.Context
 import com.chaquo.python.Python
 import com.chaquo.python.android.AndroidPlatform
+import java.util.concurrent.CountDownLatch
 
 object ImageAnalyzer {
-    private var pythonInitialized = false
+    private val initLatch = CountDownLatch(1)
+    private var isInitializing = false
 
-    fun initializePython(context: android.content.Context) {
-        if (!pythonInitialized) {
+    fun initializePython(context: Context) {
+        if (!isInitializing) {
+            isInitializing = true
             if (!Python.isStarted()) {
                 Python.start(AndroidPlatform(context))
             }
-            pythonInitialized = true
+            initLatch.countDown()
         }
     }
 
-    fun analyzeImage(imagePath: String): String? {
+    private fun waitForPython() {
+        try {
+            initLatch.await()
+        } catch (e: InterruptedException) {
+            e.printStackTrace()
+        }
+    }
+
+    fun analyzeColorStyle(imagePath: String): String? {
+        waitForPython()
+        return try {
+            val py = Python.getInstance()
+            val module = py.getModule("color_style_infer")
+            val resultObj = module.callAttr("analyze_color_style", imagePath)
+            resultObj.toString()
+        } catch (e: Exception) {
+            e.printStackTrace()
+            null
+        }
+    }
+
+    fun analyzeLayout(imagePath: String): String? {
+        waitForPython()
         return try {
             val py = Python.getInstance()
-            val module = py.getModule("analyzer")
+            val module = py.getModule("analyze_layout")
             val result = module.callAttr("analyze_single_image", imagePath)
             result.toString()
         } catch (e: Exception) {
@@ -28,6 +54,7 @@ object ImageAnalyzer {
     }
 
     fun downloadInstagramImage(url: String, outputDir: String): String? {
+        waitForPython()
         return try {
             val py = Python.getInstance()
             val module = py.getModule("instagram_downloader")
@@ -39,5 +66,3 @@ object ImageAnalyzer {
         }
     }
 }
-
-
diff --git a/android/app/src/main/kotlin/com/example/adobe/MainActivity.kt b/android/app/src/main/kotlin/com/example/adobe/MainActivity.kt
@@ -1,68 +1,66 @@
 package com.example.adobe
 
-import android.os.Bundle
 import io.flutter.embedding.android.FlutterActivity
 import io.flutter.embedding.engine.FlutterEngine
 import io.flutter.plugin.common.MethodChannel
-import org.json.JSONObject
+import kotlinx.coroutines.CoroutineScope
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.launch
+import kotlinx.coroutines.withContext
 
 class MainActivity : FlutterActivity() {
-    private val CHANNEL = "com.example.adobe/image_analyzer"
-    private val INSTAGRAM_CHANNEL = "com.example.adobe/instagram_downloader"
+    private val CHANNEL = "com.example.adobe/methods"
+    private val scope = CoroutineScope(Dispatchers.Default)
 
     override fun configureFlutterEngine(flutterEngine: FlutterEngine) {
         super.configureFlutterEngine(flutterEngine)
-        
-        // Initialize Python
-        ImageAnalyzer.initializePython(this)
-        
+
+        // Initialize Python immediately in the background
+        scope.launch(Dispatchers.IO) {
+            ImageAnalyzer.initializePython(context)
+        }
+
         MethodChannel(flutterEngine.dartExecutor.binaryMessenger, CHANNEL).setMethodCallHandler { call, result ->
-            when (call.method) {
-                "analyzeImage" -> {
-                    val imagePath = call.argument<String>("imagePath")
-                    if (imagePath != null) {
-                        try {
-                            val analysisResult = ImageAnalyzer.analyzeImage(imagePath)
-                            if (analysisResult != null) {
-                                result.success(analysisResult)
-                            } else {
-                                result.error("ANALYSIS_ERROR", "Failed to analyze image", null)
-                            }
-                        } catch (e: Exception) {
-                            result.error("ANALYSIS_ERROR", e.message, null)
+            // Launch a new coroutine for every method call on the IO dispatcher for parallel execution
+            scope.launch(Dispatchers.IO) {
+                try {
+                    val response: Any? = when (call.method) {
+                        "analyzeLayout" -> {
+                            val path = call.argument<String>("imagePath")!!
+                            ImageAnalyzer.analyzeLayout(path)
+                        }
+                        "analyzeColorStyle" -> {
+                            val path = call.argument<String>("imagePath")!!
+                            ImageAnalyzer.analyzeColorStyle(path)
+                        }
+                        "downloadInstagramImage" -> {
+                            val url = call.argument<String>("url")!!
+                            val outputDir = call.argument<String>("outputDir")!!
+                            ImageAnalyzer.downloadInstagramImage(url, outputDir)
                         }
-                    } else {
-                        result.error("INVALID_ARGUMENT", "Image path is null", null)
+                        else -> null
                     }
-                }
-                else -> {
-                    result.notImplemented()
-                }
-            }
-        }
-        
-        MethodChannel(flutterEngine.dartExecutor.binaryMessenger, INSTAGRAM_CHANNEL).setMethodCallHandler { call, result ->
-            when (call.method) {
-                "downloadInstagramImage" -> {
-                    val url = call.argument<String>("url")
-                    val outputDir = call.argument<String>("outputDir")
-                    if (url != null && outputDir != null) {
-                        try {
-                            val downloadResult = ImageAnalyzer.downloadInstagramImage(url, outputDir)
-                            if (downloadResult != null) {
-                                result.success(downloadResult)
+
+                    // Switch back to the Main Thread to send the result to Flutter
+                    withContext(Dispatchers.Main) {
+                        if (response != null) {
+                            result.success(response)
+                        } else {
+                            if (call.method == "downloadInstagramImage") {
+                                // Specific error handling for downloader if needed
+                                result.error("ERROR", "Download returned null", null)
+                            } else if (response == null && (call.method == "analyzeLayout" || call.method == "analyzeColorStyle")) {
+                                // Python returned null (error inside script)
+                                result.error("ANALYSIS_ERROR", "Python returned null", null)
                             } else {
-                                result.error("DOWNLOAD_ERROR", "Failed to download Instagram image", null)
+                                result.notImplemented()
                             }
-                        } catch (e: Exception) {
-                            result.error("DOWNLOAD_ERROR", e.message, null)
                         }
-                    } else {
-                        result.error("INVALID_ARGUMENT", "URL or output directory is null", null)
                     }
-                }
-                else -> {
-                    result.notImplemented()
+                } catch (e: Exception) {
+                    withContext(Dispatchers.Main) {
+                        result.error("EXCEPTION", e.message, e.stackTraceToString())
+                    }
                 }
             }
         }
diff --git a/android/app/src/main/python/analyze_layout.py b/android/app/src/main/python/analyze_layout.py
@@ -0,0 +1,248 @@
+import cv2
+import numpy as np
+import os
+import json
+from math import hypot
+
+# ==========================================
+# 1. HELPER FUNCTIONS
+# ==========================================
+
+def resize_for_fast_processing(img, max_side=640):
+    h, w = img.shape[:2]
+    scale = max_side / max(h, w) if max(h, w) > max_side else 1.0
+    if scale != 1.0:
+        img = cv2.resize(img, (int(w * scale), int(h * scale)), interpolation=cv2.INTER_AREA)
+    return img, scale
+
+def compute_saliency_gray(img):
+    sal = None
+    try:
+        salience = cv2.saliency.StaticSaliencySpectralResidual_create()
+        success, sal = salience.computeSaliency(img)
+        if not success: sal = None
+    except Exception:
+        sal = None
+    if sal is None:
+        # Fallback: Simple Gaussian Difference
+        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        blur1 = cv2.GaussianBlur(gray, (3, 3), 0)
+        blur2 = cv2.GaussianBlur(gray, (21, 21), 0)
+        sal = cv2.absdiff(blur1, blur2)
+        sal = sal.astype(np.float32) / (sal.max() + 1e-9)
+    else:
+        sal = sal.astype(np.float32)
+        if sal.max() > 0: sal /= sal.max()
+    return sal
+
+def saliency_centroid(sal):
+    h, w = sal.shape
+    M = sal.sum()
+    if M <= 1e-6: return (w / 2, h / 2)
+    ys, xs = np.indices(sal.shape)
+    cx = (xs * sal).sum() / M
+    cy = (ys * sal).sum() / M
+    return (float(cx), float(cy))
+
+def detect_lines(gray, canny_thresh1=50, canny_thresh2=150, hough_thresh=50):
+    edges = cv2.Canny(gray, canny_thresh1, canny_thresh2)
+    lines = cv2.HoughLinesP(edges, rho=1, theta=np.pi / 180, threshold=hough_thresh,
+                            minLineLength=min(gray.shape) // 10, maxLineGap=10)
+    if lines is None: return edges, []
+    lines = [tuple(l[0]) for l in lines]
+    return edges, lines
+
+# ==========================================
+# 2. SCORING FUNCTIONS
+# ==========================================
+
+def saturation_score(img_bgr):
+    hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV).astype(np.float32)
+    sat = hsv[:, :, 1] / 255.0
+    return float(np.mean(sat))
+
+def balance_score(img_bgr, sal):
+    img_lab = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2LAB).astype(np.float32)
+    L = img_lab[:,:,0] / 255.0
+    img_hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV).astype(np.float32)
+    S = img_hsv[:,:,1] / 255.0
+    weight = sal * (L + 0.5 * S)
+    M = weight.sum()
+    h,w = sal.shape
+    if M <= 1e-6: return 0.0
+    ys, xs = np.indices(sal.shape)
+    cx = (xs * weight).sum() / M
+    cy = (ys * weight).sum() / M
+    dx = abs(cx - w/2) / (w/2)
+    dy = abs(cy - h/2) / (h/2)
+    dist = np.sqrt(dx*dx + dy*dy) / np.sqrt(2)
+    return float(max(0.0, 1.0 - dist*1.4))
+
+def depth_score(img_gray, sal):
+    mask = sal > 0.3
+    if mask.sum() == 0: return 0.0
+    ys,xs = np.where(mask)
+    minx, maxx = xs.min(), xs.max()
+    miny, maxy = ys.min(), ys.max()
+    lap = cv2.Laplacian(img_gray, cv2.CV_64F)
+    inside = lap[miny:maxy+1, minx:maxx+1]
+    outside_mask = np.ones_like(img_gray, dtype=bool)
+    outside_mask[miny:maxy+1, minx:maxx+1] = False
+    outside = lap[outside_mask]
+    var_in = float(np.var(inside)) if inside.size>0 else 0.0
+    var_out = float(np.var(outside)) if outside.size>0 else 0.0
+    diff = var_in - var_out
+    score = (diff / (abs(var_out) + 1e-6)) if var_out>1e-6 else (1.0 if diff>0 else 0.0)
+    score = np.tanh(score)
+    return float(max(0.0, min(1.0, (score+1)/2)))
+
+def diagonals_triangles_score(lines, contours, centroid, img_shape):
+    if not lines:
+        diag_strength = 0.0
+    else:
+        angles = []
+        for (x1,y1,x2,y2) in lines:
+            dx = x2 - x1; dy = y2 - y1
+            ang = abs(np.arctan2(dy, dx))
+            ang = min(ang, np.pi - ang)
+            angles.append(1.0 - abs(ang - np.pi/4) / (np.pi/4))
+        diag_strength = float(np.mean(angles)) if angles else 0.0
+    h,w = img_shape[0], img_shape[1]
+    cx,cy = int(centroid[0]), int(centroid[1])
+    tri_score = 0.0
+    for c in contours:
+        area = cv2.contourArea(c)
+        if area < 0.01*w*h: continue
+        peri = cv2.arcLength(c, True)
+        approx = cv2.approxPolyDP(c, 0.04 * peri, True)
+        if len(approx) == 3:
+            inside = cv2.pointPolygonTest(c, (cx,cy), False)
+            dist_to_centroid = 0 if inside>=0 else min([np.linalg.norm(np.array(pt[0]) - np.array([cx,cy])) for pt in approx])
+            tri_score = max(tri_score, max(0.0, 1.0 - dist_to_centroid / max(w,h)))
+    combined = 0.6*diag_strength + 0.4*tri_score
+    return float(max(0.0, min(1.0, combined)))
+
+def symmetry_score(img_gray):
+    h,w = img_gray.shape
+    left = img_gray[:, :w//2]
+    right = img_gray[:, w - w//2:]
+    right_flipped = cv2.flip(right, 1)
+    if left.shape != right_flipped.shape:
+        right_flipped = cv2.resize(right_flipped, (left.shape[1], left.shape[0]))
+    leftf = left.astype(np.float32); rightf = right_flipped.astype(np.float32)
+    if leftf.std() < 1e-3 or rightf.std() < 1e-3: return 0.0
+    corr = np.corrcoef(leftf.flatten(), rightf.flatten())[0,1]
+    return float(max(0.0, min(1.0, (corr + 1)/2)))
+
+def fill_frame_score(sal, threshold=0.5):
+    mask = sal > threshold
+    if mask.sum() == 0: return 0.0
+    ys, xs = np.where(mask)
+    h,w = sal.shape
+    box_area = (xs.max()-xs.min()+1)*(ys.max()-ys.min()+1)
+    frac = box_area / (w*h)
+    return float(min(1.0, frac*2.0))
+
+def negative_space_score(sal):
+    low = (sal < 0.15).sum() / sal.size
+    return float(min(1.0, low))
+
+def thirds_score(sal, centroid):
+    h,w = sal.shape
+    cx, cy = centroid
+    thirds_pts = [(w/3, h/3), (w/3, 2*h/3), (2*w/3, h/3), (2*w/3, 2*h/3)]
+    dists = [hypot(cx-x, cy-y) for (x,y) in thirds_pts]
+    maxd = hypot(w, h)
+    score = 1.0 - min(dists)/maxd*1.2
+    vline_dist = min(abs(cx - w/3), abs(cx - 2*w/3)) / w
+    hline_dist = min(abs(cy - h/3), abs(cy - 2*h/3)) / h
+    line_score = 1.0 - min(vline_dist, hline_dist)
+    return float(max(0.0, min(1.0, 0.6*score + 0.4*line_score)))
+
+def golden_ratio_score(sal, centroid):
+    h,w = sal.shape
+    gx = [0.382, 0.618]; gy = [0.382, 0.618]
+    cx, cy = centroid
+    pts = [(g*w, g2*h) for g in gx for g2 in gy]
+    dists = [hypot(cx-x, cy-y) for x,y in pts]
+    maxd = hypot(w, h)
+    return float(max(0.0, min(1.0, 1.0 - min(dists)/ (maxd*0.9))))
+
+def center_score(sal, centroid):
+    h,w = sal.shape
+    cx, cy = centroid
+    dx = abs(cx - w/2) / (w/2)
+    dy = abs(cy - h/2) / (h/2)
+    dist = np.sqrt(dx*dx + dy*dy) / np.sqrt(2)
+    return float(max(0.0, 1.0 - dist*1.2))
+
+
+# ==========================================
+# 3. SINGLE IMAGE ANALYZER
+# ==========================================
+
+def analyze_single_image(img_path):
+    if not os.path.exists(img_path):
+        return json.dumps({
+            "error": f"File not found at {img_path}",
+            "success": False
+        })
+
+    # Load Image
+    img_full = cv2.imread(img_path)
+    if img_full is None:
+        return json.dumps({
+            "error": "Could not load image. Check format.",
+            "success": False
+        })
+
+    try:
+        # 1. Preprocessing
+        img, scale = resize_for_fast_processing(img_full, max_side=640)
+        h, w = img.shape[:2]
+        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        
+        # 2. Saliency Map
+        sal = compute_saliency_gray(img)
+        if sal.shape != gray.shape:
+            sal = cv2.resize(sal, (w, h), interpolation=cv2.INTER_LINEAR)
+        centroid = saliency_centroid(sal)
+
+        # 3. Geometric Features (Lines & Contours)
+        edges, lines = detect_lines(gray)
+        _, thr = cv2.threshold((gray).astype(np.uint8), 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY_INV)
+        contours, _ = cv2.findContours(thr, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+        # 4. Calculate Scores
+        scores = {
+            'Rule of Thirds': thirds_score(sal, centroid),
+            'Golden Ratio': golden_ratio_score(sal, centroid),
+            'Symmetry': symmetry_score(gray),
+            'Fill Frame': fill_frame_score(sal, threshold=0.45),
+            'Negative Space': negative_space_score(sal),
+            'Center Composition': center_score(sal, centroid),
+            'Visual Balance': balance_score(img, sal),
+            'Depth': depth_score(gray, sal),
+            'Saturation': saturation_score(img),
+            'Diagonals & Triangles': diagonals_triangles_score(lines, contours, centroid, img.shape)
+        }
+
+        # 5. Sort and get top 5
+        sorted_features = sorted(scores.items(), key=lambda x: x[1], reverse=True)
+        top5 = [{"name": k, "score": v} for k, v in sorted_features[:5]]
+        
+        # 6. Return JSON result
+        result = {
+            "success": True,
+            "scores": {k: float(v) for k, v in scores.items()},
+            "top5": top5,
+            "image_name": os.path.basename(img_path)
+        }
+        
+        return json.dumps(result)
+        
+    except Exception as e:
+        return json.dumps({
+            "error": str(e),
+            "success": False
+        })
diff --git a/android/app/src/main/python/analyzer.py b/android/app/src/main/python/analyzer.py
@@ -1,250 +0,0 @@
-import cv2
-import numpy as np
-import os
-import json
-from math import hypot
-
-# ==========================================
-# 1. HELPER FUNCTIONS
-# ==========================================
-
-def resize_for_fast_processing(img, max_side=640):
-    h, w = img.shape[:2]
-    scale = max_side / max(h, w) if max(h, w) > max_side else 1.0
-    if scale != 1.0:
-        img = cv2.resize(img, (int(w * scale), int(h * scale)), interpolation=cv2.INTER_AREA)
-    return img, scale
-
-def compute_saliency_gray(img):
-    sal = None
-    try:
-        salience = cv2.saliency.StaticSaliencySpectralResidual_create()
-        success, sal = salience.computeSaliency(img)
-        if not success: sal = None
-    except Exception:
-        sal = None
-    if sal is None:
-        # Fallback: Simple Gaussian Difference
-        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-        blur1 = cv2.GaussianBlur(gray, (3, 3), 0)
-        blur2 = cv2.GaussianBlur(gray, (21, 21), 0)
-        sal = cv2.absdiff(blur1, blur2)
-        sal = sal.astype(np.float32) / (sal.max() + 1e-9)
-    else:
-        sal = sal.astype(np.float32)
-        if sal.max() > 0: sal /= sal.max()
-    return sal
-
-def saliency_centroid(sal):
-    h, w = sal.shape
-    M = sal.sum()
-    if M <= 1e-6: return (w / 2, h / 2)
-    ys, xs = np.indices(sal.shape)
-    cx = (xs * sal).sum() / M
-    cy = (ys * sal).sum() / M
-    return (float(cx), float(cy))
-
-def detect_lines(gray, canny_thresh1=50, canny_thresh2=150, hough_thresh=50):
-    edges = cv2.Canny(gray, canny_thresh1, canny_thresh2)
-    lines = cv2.HoughLinesP(edges, rho=1, theta=np.pi / 180, threshold=hough_thresh,
-                            minLineLength=min(gray.shape) // 10, maxLineGap=10)
-    if lines is None: return edges, []
-    lines = [tuple(l[0]) for l in lines]
-    return edges, lines
-
-# ==========================================
-# 2. SCORING FUNCTIONS
-# ==========================================
-
-def saturation_score(img_bgr):
-    hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV).astype(np.float32)
-    sat = hsv[:, :, 1] / 255.0
-    return float(np.mean(sat))
-
-def balance_score(img_bgr, sal):
-    img_lab = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2LAB).astype(np.float32)
-    L = img_lab[:,:,0] / 255.0
-    img_hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV).astype(np.float32)
-    S = img_hsv[:,:,1] / 255.0
-    weight = sal * (L + 0.5 * S)
-    M = weight.sum()
-    h,w = sal.shape
-    if M <= 1e-6: return 0.0
-    ys, xs = np.indices(sal.shape)
-    cx = (xs * weight).sum() / M
-    cy = (ys * weight).sum() / M
-    dx = abs(cx - w/2) / (w/2)
-    dy = abs(cy - h/2) / (h/2)
-    dist = np.sqrt(dx*dx + dy*dy) / np.sqrt(2)
-    return float(max(0.0, 1.0 - dist*1.4))
-
-def depth_score(img_gray, sal):
-    mask = sal > 0.3
-    if mask.sum() == 0: return 0.0
-    ys,xs = np.where(mask)
-    minx, maxx = xs.min(), xs.max()
-    miny, maxy = ys.min(), ys.max()
-    lap = cv2.Laplacian(img_gray, cv2.CV_64F)
-    inside = lap[miny:maxy+1, minx:maxx+1]
-    outside_mask = np.ones_like(img_gray, dtype=bool)
-    outside_mask[miny:maxy+1, minx:maxx+1] = False
-    outside = lap[outside_mask]
-    var_in = float(np.var(inside)) if inside.size>0 else 0.0
-    var_out = float(np.var(outside)) if outside.size>0 else 0.0
-    diff = var_in - var_out
-    score = (diff / (abs(var_out) + 1e-6)) if var_out>1e-6 else (1.0 if diff>0 else 0.0)
-    score = np.tanh(score)
-    return float(max(0.0, min(1.0, (score+1)/2)))
-
-def diagonals_triangles_score(lines, contours, centroid, img_shape):
-    if not lines:
-        diag_strength = 0.0
-    else:
-        angles = []
-        for (x1,y1,x2,y2) in lines:
-            dx = x2 - x1; dy = y2 - y1
-            ang = abs(np.arctan2(dy, dx))
-            ang = min(ang, np.pi - ang)
-            angles.append(1.0 - abs(ang - np.pi/4) / (np.pi/4))
-        diag_strength = float(np.mean(angles)) if angles else 0.0
-    h,w = img_shape[0], img_shape[1]
-    cx,cy = int(centroid[0]), int(centroid[1])
-    tri_score = 0.0
-    for c in contours:
-        area = cv2.contourArea(c)
-        if area < 0.01*w*h: continue
-        peri = cv2.arcLength(c, True)
-        approx = cv2.approxPolyDP(c, 0.04 * peri, True)
-        if len(approx) == 3:
-            inside = cv2.pointPolygonTest(c, (cx,cy), False)
-            dist_to_centroid = 0 if inside>=0 else min([np.linalg.norm(np.array(pt[0]) - np.array([cx,cy])) for pt in approx])
-            tri_score = max(tri_score, max(0.0, 1.0 - dist_to_centroid / max(w,h)))
-    combined = 0.6*diag_strength + 0.4*tri_score
-    return float(max(0.0, min(1.0, combined)))
-
-def symmetry_score(img_gray):
-    h,w = img_gray.shape
-    left = img_gray[:, :w//2]
-    right = img_gray[:, w - w//2:]
-    right_flipped = cv2.flip(right, 1)
-    if left.shape != right_flipped.shape:
-        right_flipped = cv2.resize(right_flipped, (left.shape[1], left.shape[0]))
-    leftf = left.astype(np.float32); rightf = right_flipped.astype(np.float32)
-    if leftf.std() < 1e-3 or rightf.std() < 1e-3: return 0.0
-    corr = np.corrcoef(leftf.flatten(), rightf.flatten())[0,1]
-    return float(max(0.0, min(1.0, (corr + 1)/2)))
-
-def fill_frame_score(sal, threshold=0.5):
-    mask = sal > threshold
-    if mask.sum() == 0: return 0.0
-    ys, xs = np.where(mask)
-    h,w = sal.shape
-    box_area = (xs.max()-xs.min()+1)*(ys.max()-ys.min()+1)
-    frac = box_area / (w*h)
-    return float(min(1.0, frac*2.0))
-
-def negative_space_score(sal):
-    low = (sal < 0.15).sum() / sal.size
-    return float(min(1.0, low))
-
-def thirds_score(sal, centroid):
-    h,w = sal.shape
-    cx, cy = centroid
-    thirds_pts = [(w/3, h/3), (w/3, 2*h/3), (2*w/3, h/3), (2*w/3, 2*h/3)]
-    dists = [hypot(cx-x, cy-y) for (x,y) in thirds_pts]
-    maxd = hypot(w, h)
-    score = 1.0 - min(dists)/maxd*1.2
-    vline_dist = min(abs(cx - w/3), abs(cx - 2*w/3)) / w
-    hline_dist = min(abs(cy - h/3), abs(cy - 2*h/3)) / h
-    line_score = 1.0 - min(vline_dist, hline_dist)
-    return float(max(0.0, min(1.0, 0.6*score + 0.4*line_score)))
-
-def golden_ratio_score(sal, centroid):
-    h,w = sal.shape
-    gx = [0.382, 0.618]; gy = [0.382, 0.618]
-    cx, cy = centroid
-    pts = [(g*w, g2*h) for g in gx for g2 in gy]
-    dists = [hypot(cx-x, cy-y) for x,y in pts]
-    maxd = hypot(w, h)
-    return float(max(0.0, min(1.0, 1.0 - min(dists)/ (maxd*0.9))))
-
-def center_score(sal, centroid):
-    h,w = sal.shape
-    cx, cy = centroid
-    dx = abs(cx - w/2) / (w/2)
-    dy = abs(cy - h/2) / (h/2)
-    dist = np.sqrt(dx*dx + dy*dy) / np.sqrt(2)
-    return float(max(0.0, 1.0 - dist*1.2))
-
-
-# ==========================================
-# 3. SINGLE IMAGE ANALYZER
-# ==========================================
-
-def analyze_single_image(img_path):
-    if not os.path.exists(img_path):
-        return json.dumps({
-            "error": f"File not found at {img_path}",
-            "success": False
-        })
-
-    # Load Image
-    img_full = cv2.imread(img_path)
-    if img_full is None:
-        return json.dumps({
-            "error": "Could not load image. Check format.",
-            "success": False
-        })
-
-    try:
-        # 1. Preprocessing
-        img, scale = resize_for_fast_processing(img_full, max_side=640)
-        h, w = img.shape[:2]
-        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-        
-        # 2. Saliency Map
-        sal = compute_saliency_gray(img)
-        if sal.shape != gray.shape:
-            sal = cv2.resize(sal, (w, h), interpolation=cv2.INTER_LINEAR)
-        centroid = saliency_centroid(sal)
-
-        # 3. Geometric Features (Lines & Contours)
-        edges, lines = detect_lines(gray)
-        _, thr = cv2.threshold((gray).astype(np.uint8), 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY_INV)
-        contours, _ = cv2.findContours(thr, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-        # 4. Calculate Scores
-        scores = {
-            'Rule of Thirds': thirds_score(sal, centroid),
-            'Golden Ratio': golden_ratio_score(sal, centroid),
-            'Symmetry': symmetry_score(gray),
-            'Fill Frame': fill_frame_score(sal, threshold=0.45),
-            'Negative Space': negative_space_score(sal),
-            'Center Composition': center_score(sal, centroid),
-            'Visual Balance': balance_score(img, sal),
-            'Depth': depth_score(gray, sal),
-            'Saturation': saturation_score(img),
-            'Diagonals & Triangles': diagonals_triangles_score(lines, contours, centroid, img.shape)
-        }
-
-        # 5. Sort and get top 5
-        sorted_features = sorted(scores.items(), key=lambda x: x[1], reverse=True)
-        top5 = [{"name": k, "score": v} for k, v in sorted_features[:5]]
-        
-        # 6. Return JSON result
-        result = {
-            "success": True,
-            "scores": {k: float(v) for k, v in scores.items()},
-            "top5": top5,
-            "image_name": os.path.basename(img_path)
-        }
-        
-        return json.dumps(result)
-        
-    except Exception as e:
-        return json.dumps({
-            "error": str(e),
-            "success": False
-        })
-
-
diff --git a/android/app/src/main/python/color_style_infer.py b/android/app/src/main/python/color_style_infer.py
@@ -0,0 +1,204 @@
+import os
+import sys
+import json
+import traceback
+import numpy as np
+import cv2
+import joblib
+
+# --- Global Cache ---
+_MODEL_DATA = None
+
+class NumpyEncoder(json.JSONEncoder):
+    def default(self, obj):
+        if isinstance(obj, (np.integer, int)):
+            return int(obj)
+        elif isinstance(obj, (np.floating, float)):
+            return float(obj)
+        elif isinstance(obj, np.ndarray):
+            return obj.tolist()
+        return super(NumpyEncoder, self).default(obj)
+
+def _load_model_if_needed():
+    global _MODEL_DATA
+    if _MODEL_DATA is not None:
+        return _MODEL_DATA
+
+    try:
+        base_dir = os.path.dirname(__file__)
+        model_path = os.path.join(base_dir, "color_style_model.joblib")
+        if os.path.exists(model_path):
+            _MODEL_DATA = joblib.load(model_path)
+    except Exception as e:
+        print(f"Error loading model: {e}")
+    return _MODEL_DATA
+
+# --- Feature Extraction Helpers ---
+def compute_color_features(bgr):
+    hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV)
+    lab = cv2.cvtColor(bgr, cv2.COLOR_BGR2LAB)
+    H, S, V = cv2.split(hsv)
+    L, A, B = cv2.split(lab)
+
+    def stats(x):
+        x = x.astype(np.float32) / 255.0
+        return float(x.mean()), float(x.std()), float(np.percentile(x, 1)), float(np.percentile(x, 99))
+
+    color = {}
+
+    # Lightness / brightness
+    mean_L, std_L, p1_L, p99_L = stats(L)
+    color.update({"mean_L": mean_L, "std_L": std_L, "p1_L": p1_L, "p99_L": p99_L})
+
+    # Saturation
+    mean_S, std_S, p1_S, p99_S = stats(S)
+    color.update({"mean_S": mean_S, "std_S": std_S, "p1_S": p1_S, "p99_S": p99_S})
+
+    # Value / luminance
+    mean_V, std_V, p1_V, p99_V = stats(V)
+    color.update({"mean_V": mean_V, "std_V": std_V, "p1_V": p1_V, "p99_V": p99_V})
+
+    # Hue stats
+    Hf = H.astype(np.float32) * 2.0
+    rad = np.deg2rad(Hf)
+    sin_mean, cos_mean = np.sin(rad).mean(), np.cos(rad).mean()
+    hue_mean_deg = np.rad2deg(np.arctan2(sin_mean, cos_mean)) % 360
+    R = np.sqrt(sin_mean**2 + cos_mean**2)
+    hue_dispersion = float(1 - R)
+    color.update({"hue_mean_deg": float(hue_mean_deg), "hue_dispersion": hue_dispersion})
+
+    # Colorfulness
+    rg = (bgr[:, :, 2].astype(np.float32) - bgr[:, :, 1].astype(np.float32))
+    yb = 0.5 * (bgr[:, :, 2].astype(np.float32) + bgr[:, :, 1].astype(np.float32)) - bgr[:, :, 0].astype(np.float32)
+    sigma_rg, sigma_yb = rg.std(), yb.std()
+    mean_rg, mean_yb = rg.mean(), yb.mean()
+    colorfulness = np.sqrt(sigma_rg**2 + sigma_yb**2) + 0.3 * np.sqrt(mean_rg**2 + mean_yb**2)
+    color["colorfulness"] = float(colorfulness)
+
+    # Palette
+    pixels = bgr.reshape(-1, 3).astype(np.float32)
+    K = 5
+    criteria = (cv2.TermCriteria_EPS + cv2.TermCriteria_MAX_ITER, 20, 1.0)
+    _, _, centers = cv2.kmeans(pixels, K, None, criteria, 1, cv2.KMEANS_PP_CENTERS)
+    color["palette_bgr"] = centers.astype(int).tolist()
+
+    return color
+
+
+def compute_editing_features(bgr):
+    hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV)
+    lab = cv2.cvtColor(bgr, cv2.COLOR_BGR2LAB)
+    H, S, V = cv2.split(hsv)
+    L, A, B = cv2.split(lab)
+
+    feats = {}
+
+    def stats(x):
+        x = x.astype(np.float32) / 255.0
+        return float(x.mean()), float(x.std()), float(np.percentile(x, 1)), float(np.percentile(x, 99))
+
+    mean_V, std_V, p1_V, p99_V = stats(V)
+    mean_S, std_S, p1_S, p99_S = stats(S)
+
+    feats["brightness_mean"] = mean_V
+    feats["brightness_range"] = p99_V - p1_V
+
+    gray = cv2.cvtColor(bgr, cv2.COLOR_BGR2GRAY).astype(np.float32) / 255.0
+    feats["contrast_rms"] = float(gray.std())
+    feats["saturation_mean"] = mean_S
+    feats["saturation_range"] = p99_S - p1_S
+    feats["tint_a_mean"] = float(A.mean())
+    feats["tint_b_mean"] = float(B.mean())
+
+    Hf = H.astype(np.float32) * 2.0
+    rad = np.deg2rad(Hf)
+    sin_mean, cos_mean = np.sin(rad).mean(), np.cos(rad).mean()
+    hue_mean_deg = np.rad2deg(np.arctan2(sin_mean, cos_mean)) % 360
+    R = np.sqrt(sin_mean**2 + cos_mean**2)
+    feats["hue_mean_deg"] = float(hue_mean_deg)
+    feats["hue_dispersion"] = float(1 - R)
+
+    patch_std = []
+    step, k = 16, 16
+    for y in range(0, gray.shape[0] - k + 1, step):
+        for x in range(0, gray.shape[1] - k + 1, step):
+            patch = gray[y:y + k, x:x + k]
+            patch_std.append(patch.std())
+    if len(patch_std) > 0:
+        patch_std = np.array(patch_std)
+        feats["local_contrast_mean"] = float(patch_std.mean())
+        feats["local_contrast_std"] = float(patch_std.std())
+    else:
+        feats["local_contrast_mean"] = 0.0
+        feats["local_contrast_std"] = 0.0
+
+    return feats
+
+
+def flatten_features(features_dict):
+    flat_values = []
+    # 1. Color Features
+    color_feats = features_dict.get('color', {})
+    for key, val in color_feats.items():
+        if key == 'palette_bgr':
+            flat_values.extend(np.array(val).flatten())
+        else:
+            flat_values.append(val)
+    # 2. Editing Features
+    edit_feats = features_dict.get('editing', {})
+    for key, val in edit_feats.items():
+        flat_values.append(val)
+    return np.array(flat_values)
+
+
+# --- Public API ---
+
+def analyze_color_style(image_path):
+    try:
+        model_data = _load_model_if_needed()
+        if model_data is None:
+            return json.dumps({"success": False, "error": "Model failed to load"})
+
+        if not os.path.exists(image_path):
+            return json.dumps({"success": False, "error": f"Image not found at: {image_path}"})
+
+        img = cv2.imread(image_path)
+        if img is None:
+            return json.dumps({"success": False, "error": "CV2 could not read image"})
+
+        # Extract Features
+        raw_features = {
+            "color": compute_color_features(img),
+            "editing": compute_editing_features(img)
+        }
+
+        flat_vector = flatten_features(raw_features)
+
+        # Predict
+        clf = model_data['model']
+        le = model_data['encoder']
+
+        probs = clf.predict_proba([flat_vector])[0]
+        classes = le.classes_
+
+        # Format Results
+        prediction = classes[np.argmax(probs)]
+        score = max(probs)
+
+        results = []
+        for c, p in zip(classes, probs):
+            results.append({"label": c, "score": p})
+
+        results = sorted(results, key=lambda x: x["score"], reverse=True)[:3]
+
+        response = {
+            "success": True,
+            "predictions": results,
+            "top_label": prediction,
+            "top_score": score
+        }
+
+        return json.dumps(response, cls=NumpyEncoder)
+
+    except Exception as e:
+        return json.dumps({"success": False, "error": f"Python Exception: {str(e)} | {traceback.format_exc()}"})
diff --git a/android/app/src/main/python/color_style_model.joblib b/android/app/src/main/python/color_style_model.joblib
Binary files differ.
diff --git a/android/build.gradle.kts b/android/build.gradle.kts
@@ -29,11 +29,4 @@ subprojects {
             compileOptions.javaClass.getMethod("setTargetCompatibility", JavaVersion::class.java).invoke(compileOptions, JavaVersion.VERSION_17)
         }
     }
-    
-    // Set Kotlin JVM target for all projects
-    tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile>().configureEach {
-        kotlinOptions {
-            jvmTarget = "17"
-        }
-    }
-}
-\ No newline at end of file
+}
diff --git a/android/settings.gradle.kts b/android/settings.gradle.kts
@@ -20,7 +20,7 @@ pluginManagement {
 plugins {
     id("dev.flutter.flutter-plugin-loader") version "1.0.0"
     id("com.android.application") version "8.7.0" apply false
-    id("org.jetbrains.kotlin.android") version "1.8.22" apply false
+    id("org.jetbrains.kotlin.android") version "2.2.21" apply false
     id("com.chaquo.python") version "15.0.1" apply false
 }
 
diff --git a/assets/fonts/GeneralSans-Extralight.otf b/assets/fonts/GeneralSans-Extralight.otf
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diff --git a/assets/fonts/GeneralSans-Light.otf b/assets/fonts/GeneralSans-Light.otf
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diff --git a/assets/fonts/GeneralSans-Medium.otf b/assets/fonts/GeneralSans-Medium.otf
Binary files differ.
diff --git a/assets/fonts/GeneralSans-Regular.otf b/assets/fonts/GeneralSans-Regular.otf
Binary files differ.
diff --git a/assets/fonts/GeneralSans-Semibold.otf b/assets/fonts/GeneralSans-Semibold.otf
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diff --git a/assets/fonts/GeneralSans-Variable.ttf b/assets/fonts/GeneralSans-Variable.ttf
Binary files differ.
diff --git a/assets/style_embeddings.json b/assets/style_embeddings.json
@@ -0,0 +1 @@
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+    0.010854550637304783,
+    0.014885160140693188,
+    0.05128965899348259,
+    0.043478406965732574
+  ]
+}
+\ No newline at end of file
diff --git a/lib/data/database.dart b/lib/data/database.dart
@@ -1,5 +1,3 @@
-// lib/data/database.dart
-
 import 'package:sqflite/sqflite.dart';
 import 'package:path/path.dart';
 
@@ -17,8 +15,9 @@ class AppDatabase {
 
     return await openDatabase(
       path,
-      version: 2, // Incremented version to trigger migration
+      version: 4, // Incremented to 4 for Comments table
       onCreate: (db, version) async {
+        // 1. Images Table
         await db.execute('''
           CREATE TABLE images (
             id TEXT PRIMARY KEY,
@@ -28,14 +27,27 @@ class AppDatabase {
           )
         ''');
 
+        // 2. Categories Table
         await db.execute('''
-          CREATE TABLE boards (
+          CREATE TABLE board_categories (
             id INTEGER PRIMARY KEY AUTOINCREMENT,
             name TEXT,
             createdAt TEXT
           )
         ''');
 
+        // 3. Boards Table
+        await db.execute('''
+          CREATE TABLE boards (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            name TEXT,
+            category_id INTEGER,
+            createdAt TEXT,
+            FOREIGN KEY (category_id) REFERENCES board_categories (id)
+          )
+        ''');
+
+        // 4. Junction Table
         await db.execute('''
           CREATE TABLE board_images (
             id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -44,23 +56,56 @@ class AppDatabase {
             createdAt TEXT
           )
         ''');
+
+        // 5. Comments Table (New)
+        await db.execute('''
+          CREATE TABLE comments (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            image_id TEXT,
+            content TEXT,
+            comment_type TEXT,
+            createdAt TEXT,
+            FOREIGN KEY (image_id) REFERENCES images (id) ON DELETE CASCADE
+          )
+        ''');
       },
       onUpgrade: (db, oldVersion, newVersion) async {
-        // Migrate from version 1 to version 2: Add analysis_data column
+        // ... Previous migrations (v1->v2, v2->v3) ...
         if (oldVersion < 2) {
-          // Check if column exists before adding
-          final tableInfo = await db.rawQuery('PRAGMA table_info(images)');
-          final hasAnalysisData = tableInfo.any(
-            (column) => column['name'] == 'analysis_data',
-          );
+           final tableInfo = await db.rawQuery('PRAGMA table_info(images)');
+           if (!tableInfo.any((c) => c['name'] == 'analysis_data')) {
+             await db.execute('ALTER TABLE images ADD COLUMN analysis_data TEXT');
+           }
+        }
 
-          if (!hasAnalysisData) {
-            await db.execute('''
-              ALTER TABLE images ADD COLUMN analysis_data TEXT
-            ''');
+        if (oldVersion < 3) {
+           await db.execute('''
+            CREATE TABLE IF NOT EXISTS board_categories (
+              id INTEGER PRIMARY KEY AUTOINCREMENT,
+              name TEXT,
+              createdAt TEXT
+            )
+          ''');
+          final tableInfo = await db.rawQuery('PRAGMA table_info(boards)');
+          if (!tableInfo.any((c) => c['name'] == 'category_id')) {
+            await db.execute('ALTER TABLE boards ADD COLUMN category_id INTEGER');
           }
         }
+
+        // Migration v3 -> v4 (Comments)
+        if (oldVersion < 4) {
+          await db.execute('''
+            CREATE TABLE IF NOT EXISTS comments (
+              id INTEGER PRIMARY KEY AUTOINCREMENT,
+              image_id TEXT,
+              content TEXT,
+              comment_type TEXT,
+              createdAt TEXT,
+              FOREIGN KEY (image_id) REFERENCES images (id) ON DELETE CASCADE
+            )
+          ''');
+        }
       },
     );
   }
-}
+}
+\ No newline at end of file
diff --git a/lib/data/models/board_model.dart b/lib/data/models/board_model.dart
@@ -1,12 +1,31 @@
-// lib/data/models/board_model.dart
-
 class Board {
   final int id;
   final String name;
+  final String createdAt;
+  final int? categoryId; // Added categoryId
+
+  Board({
+    required this.id,
+    required this.name,
+    required this.createdAt,
+    this.categoryId, // Added categoryId to constructor
+  });
 
-  Board({required this.id, required this.name});
+  factory Board.fromMap(Map<String, dynamic> map) {
+    return Board(
+      id: map['id'],
+      name: map['name'],
+      createdAt: map['createdAt'],
+      categoryId: map['category_id'], // Map category_id from DB
+    );
+  }
 
-  factory Board.fromMap(Map<String, dynamic> m) {
-    return Board(id: m['id'], name: m['name']);
+  Map<String, dynamic> toMap() {
+    return {
+      'id': id,
+      'name': name,
+      'createdAt': createdAt,
+      'category_id': categoryId, // Include category_id in map
+    };
   }
-}
+}
+\ No newline at end of file
diff --git a/lib/data/models/category_model.dart b/lib/data/models/category_model.dart
@@ -0,0 +1,27 @@
+class BoardCategory {
+  final int id;
+  final String name;
+  final String createdAt;
+
+  BoardCategory({
+    required this.id,
+    required this.name,
+    required this.createdAt,
+  });
+
+  factory BoardCategory.fromMap(Map<String, dynamic> map) {
+    return BoardCategory(
+      id: map['id'],
+      name: map['name'],
+      createdAt: map['createdAt'],
+    );
+  }
+
+  Map<String, dynamic> toMap() {
+    return {
+      'id': id,
+      'name': name,
+      'createdAt': createdAt,
+    };
+  }
+}
+\ No newline at end of file
diff --git a/lib/data/models/comment_model.dart b/lib/data/models/comment_model.dart
@@ -0,0 +1,56 @@
+enum CommentType {
+  illustrations,
+  layout,
+  motif,
+  typography,
+  colour,
+  font,
+  vibe,
+  other
+}
+
+class Comment {
+  final int? id; // Database ID
+  final String imageId; // Foreign key to the Image
+  final String content; // The text content
+  final CommentType type; // The category of comment
+  final String createdAt; // Timestamp
+
+  Comment({
+    this.id,
+    required this.imageId,
+    required this.content,
+    required this.type,
+    required this.createdAt,
+  });
+
+  // Convert from Map (Database) to Model
+  factory Comment.fromMap(Map<String, dynamic> map) {
+    return Comment(
+      id: map['id'] as int?,
+      imageId: map['image_id'] as String,
+      content: map['content'] as String,
+      type: _parseType(map['comment_type'] as String),
+      createdAt: map['createdAt'] as String,
+    );
+  }
+
+  // Convert from Model to Map (Database)
+  Map<String, dynamic> toMap() {
+    return {
+      'id': id,
+      'image_id': imageId,
+      'content': content,
+      'comment_type': type.name, // Stores as string e.g., "illustrations"
+      'createdAt': createdAt,
+    };
+  }
+
+  // Helper to parse string to Enum safely
+  static CommentType _parseType(String typeString) {
+    return CommentType.values.firstWhere(
+      (e) => e.name == typeString,
+      orElse: () => CommentType.other,
+    );
+  }
+}
+\ No newline at end of file
diff --git a/lib/data/repos/board_category_repo.dart b/lib/data/repos/board_category_repo.dart
@@ -0,0 +1,26 @@
+import 'package:adobe/data/database.dart';
+
+class BoardCategoryRepository {
+  Future<int> createCategory(String name) async {
+    final db = await AppDatabase.db;
+    return await db.insert('board_categories', {
+      'name': name,
+      'createdAt': DateTime.now().toIso8601String(),
+    });
+  }
+
+  Future<List<Map<String, dynamic>>> getAllCategories() async {
+    final db = await AppDatabase.db;
+    return await db.query('board_categories', orderBy: 'createdAt DESC');
+  }
+
+  Future<List<Map<String, dynamic>>> getBoardsByCategory(int categoryId) async {
+    final db = await AppDatabase.db;
+    return await db.query(
+      'boards',
+      where: 'category_id = ?',
+      whereArgs: [categoryId],
+      orderBy: 'createdAt DESC',
+    );
+  }
+}
+\ No newline at end of file
diff --git a/lib/data/repos/board_image_repo.dart b/lib/data/repos/board_image_repo.dart
@@ -23,4 +23,27 @@ class BoardImageRepository {
       WHERE board_images.board_id = ?
     ''', [boardId]);
   }
+
+  Future<void> removeImageFromBoard(int boardId, String imageId) async {
+    final db = await AppDatabase.db;
+    await db.delete(
+      "board_images",
+      where: "board_id = ? AND image_id = ?",
+      whereArgs: [boardId, imageId],
+    );
+  }
+
+  Future<List<String>> getBoardPreviewImages(int boardId) async {
+    final db = await AppDatabase.db;
+    final result = await db.rawQuery('''
+      SELECT images.filePath
+      FROM images
+      JOIN board_images ON images.id = board_images.image_id
+      WHERE board_images.board_id = ?
+      ORDER BY board_images.createdAt DESC
+      LIMIT 4
+    ''', [boardId]);
+
+    return result.map((e) => e['filePath'] as String).toList();
+  }
 }
diff --git a/lib/data/repos/board_repo.dart b/lib/data/repos/board_repo.dart
@@ -1,18 +1,35 @@
-// lib/data/repos/board_repo.dart
-
 import 'package:adobe/data/database.dart';
 
 class BoardRepository {
-  Future<int> createBoard(String name) async {
+  // Updated to accept optional categoryId
+  Future<int> createBoard(String name, {int? categoryId}) async {
     final db = await AppDatabase.db;
     return await db.insert("boards", {
       "name": name,
+      "category_id": categoryId, // Save the category link
       "createdAt": DateTime.now().toString()
     });
   }
 
   Future<List<Map<String, dynamic>>> getBoards() async {
     final db = await AppDatabase.db;
-    return await db.query("boards");
+    return await db.query("boards", orderBy: "createdAt DESC");
+  }
+
+  Future<void> updateBoardName(int id, String newName) async {
+    final db = await AppDatabase.db;
+    await db.update(
+      "boards",
+      {"name": newName},
+      where: "id = ?",
+      whereArgs: [id],
+    );
+  }
+
+  Future<void> deleteBoard(int id) async {
+    final db = await AppDatabase.db;
+    await db.delete("boards", where: "id = ?", whereArgs: [id]);
+    // Remove associations (images stay in "All Images", but link to board is gone)
+    await db.delete("board_images", where: "board_id = ?", whereArgs: [id]);
   }
 }
diff --git a/lib/data/repos/comment_repo.dart b/lib/data/repos/comment_repo.dart
@@ -0,0 +1,33 @@
+import 'package:adobe/data/database.dart';
+import 'package:adobe/data/models/comment_model.dart';
+
+class CommentRepository {
+  // Add a new comment to the database
+  Future<int> addComment(Comment comment) async {
+    final db = await AppDatabase.db;
+    return await db.insert('comments', comment.toMap());
+  }
+
+  // Retrieve all comments for a specific image
+  Future<List<Comment>> getCommentsForImage(String imageId) async {
+    final db = await AppDatabase.db;
+    final result = await db.query(
+      'comments',
+      where: 'image_id = ?',
+      whereArgs: [imageId],
+      orderBy: 'createdAt DESC', // Most recent comments first
+    );
+
+    return result.map((e) => Comment.fromMap(e)).toList();
+  }
+
+  // Optional: Delete a comment
+  Future<int> deleteComment(int id) async {
+    final db = await AppDatabase.db;
+    return await db.delete(
+      'comments',
+      where: 'id = ?',
+      whereArgs: [id],
+    );
+  }
+}
+\ No newline at end of file
diff --git a/lib/data/repos/image_repo.dart b/lib/data/repos/image_repo.dart
@@ -31,4 +31,19 @@ class ImageRepository {
     final db = await AppDatabase.db;
     return await db.query("images");
   }
+
+  Future<void> deleteImage(String id) async {
+    final db = await AppDatabase.db;
+    // Delete from images table
+    await db.delete("images", where: "id = ?", whereArgs: [id]);
+    // Also delete any connections to boards
+    await db.delete("board_images", where: "image_id = ?", whereArgs: [id]);
+  }
+  
+  Future<String?> getImagePath(String id) async {
+    final db = await AppDatabase.db;
+    final res = await db.query("images", columns: ["filePath"], where: "id = ?", whereArgs: [id]);
+    if (res.isNotEmpty) return res.first["filePath"] as String;
+    return null;
+  }
 }
diff --git a/lib/main.dart b/lib/main.dart
@@ -1,12 +1,14 @@
-// lib/main.dart
-
 import 'dart:async';
 import 'package:flutter/material.dart';
+import 'package:adobe/services/theme_service.dart';
 import 'package:receive_sharing_intent/receive_sharing_intent.dart';
 import 'package:adobe/ui/pages/home_page.dart';
 import 'package:adobe/ui/pages/share_handler_page.dart';
 
 void main() {
+  WidgetsFlutterBinding.ensureInitialized();
+  // Removed await calls here to prevent startup freeze.
+  // Initialization logic is now handled inside MyApp.
   runApp(const MyApp());
 }
 
@@ -20,47 +22,72 @@ class MyApp extends StatefulWidget {
 class _MyAppState extends State<MyApp> {
   late StreamSubscription _intentSub;
   final _navigatorKey = GlobalKey<NavigatorState>();
+  
+  // Controls the loading screen
+  bool _isReady = false; 
 
   @override
   void initState() {
     super.initState();
+    _initApp();
+  }
 
-    // 1. LISTEN: App is running in memory
-    _intentSub = ReceiveSharingIntent.instance.getMediaStream().listen(
-      (List<SharedMediaFile> value) {
-        if (value.isNotEmpty) {
-          // The URL, Text, or file path is inside the 'path' property
-          _navigateToSharePage(value.first.path);
-        }
-      },
-      onError: (err) {
-        debugPrint("Share Error: $err");
-      },
-    );
+  Future<void> _initApp() async {
+    // 1. Load Theme (Wrapped in try-catch to be safe)
+    try {
+      await themeService.loadTheme();
+    } catch (e) {
+      debugPrint("⚠️ Theme load error (ignoring): $e");
+    }
 
-    // 2. LISTEN: App is closed and opened via Share
-    ReceiveSharingIntent.instance.getInitialMedia().then((
-      List<SharedMediaFile> value,
-    ) {
-      if (value.isNotEmpty) {
-        _navigateToSharePage(value.first.path);
+    // 2. Setup Sharing Intent Listener
+    try {
+      // Listen for shared files while app is running
+      _intentSub = ReceiveSharingIntent.instance.getMediaStream().listen(
+        (List<SharedMediaFile> value) {
+          if (value.isNotEmpty) {
+            _navigateToSharePage(value.first.path);
+          }
+        },
+        onError: (err) {
+          debugPrint("⚠️ Share stream error: $err");
+        },
+      );
 
-        // Optional: Clear the intent so it doesn't re-trigger on reload
+      // Check if the app was launched via a share action (Cold Start)
+      final initialMedia = await ReceiveSharingIntent.instance.getInitialMedia();
+      if (initialMedia.isNotEmpty) {
+        _navigateToSharePage(initialMedia.first.path);
         ReceiveSharingIntent.instance.reset();
       }
-    });
+    } catch (e) {
+      debugPrint("⚠️ Share intent error: $e");
+    }
+
+    // Listen for theme changes to rebuild the UI dynamically
+    themeService.addListener(_updateTheme);
+
+    if (mounted) {
+      setState(() {
+        _isReady = true;
+      });
+    }
+  }
+
+  void _updateTheme() {
+    if (mounted) setState(() {});
   }
 
   @override
   void dispose() {
-    _intentSub.cancel();
+    try { _intentSub.cancel(); } catch (_) {}
+    themeService.removeListener(_updateTheme);
     super.dispose();
   }
 
   void _navigateToSharePage(String sharedText) {
-    // Navigate to the Share Handler Page
-    // Use a microtask to ensure the navigator is ready
-    Future.delayed(Duration.zero, () {
+    // Wait for the frame to render before pushing the route
+    WidgetsBinding.instance.addPostFrameCallback((_) {
       _navigatorKey.currentState?.push(
         MaterialPageRoute(
           builder: (_) => ShareHandlerPage(sharedText: sharedText),
@@ -71,9 +98,56 @@ class _MyAppState extends State<MyApp> {
 
   @override
   Widget build(BuildContext context) {
+    // Show a loading spinner until essential services are initialized
+    if (!_isReady) {
+      return const MaterialApp(
+        debugShowCheckedModeBanner: false,
+        home: Scaffold(
+          backgroundColor: Colors.white,
+          body: Center(child: CircularProgressIndicator()),
+        ),
+      );
+    }
+
     return MaterialApp(
       navigatorKey: _navigatorKey,
       debugShowCheckedModeBanner: false,
+      
+      // Connect the ThemeService mode (Light / Dark / System)
+      themeMode: themeService.mode, 
+
+      // Light Theme Definition
+      theme: ThemeData(
+        fontFamily: 'GeneralSans',
+        colorScheme: ColorScheme.fromSeed(
+          seedColor: Colors.blue, 
+          brightness: Brightness.light
+        ),
+        useMaterial3: true,
+        scaffoldBackgroundColor: Colors.white,
+        appBarTheme: const AppBarTheme(
+          backgroundColor: Colors.white,
+          foregroundColor: Colors.black,
+          surfaceTintColor: Colors.transparent,
+        ),
+      ),
+
+      // Dark Theme Definition
+      darkTheme: ThemeData(
+        fontFamily: 'GeneralSans',
+        colorScheme: ColorScheme.fromSeed(
+          seedColor: Colors.blue, 
+          brightness: Brightness.dark
+        ),
+        useMaterial3: true,
+        scaffoldBackgroundColor: Colors.grey[900],
+        appBarTheme: AppBarTheme(
+          backgroundColor: Colors.grey[900],
+          foregroundColor: Colors.white,
+          surfaceTintColor: Colors.transparent,
+        ),
+      ),
+
       home: const HomePage(),
     );
   }
diff --git a/lib/services/board_services.dart b/lib/services/board_services.dart
@@ -0,0 +1,67 @@
+// lib/services/board_services.dart
+
+import '../data/repos/board_repo.dart';
+import '../data/repos/board_image_repo.dart';
+import '../data/repos/image_repo.dart';
+import 'dart:io';
+
+class BoardService {
+  final _boardRepo = BoardRepository();
+  final _boardImgRepo = BoardImageRepository();
+  final _imgRepo = ImageRepository();
+
+  Future<void> renameBoard(int boardId, String newName) async {
+    if (newName.trim().isEmpty) return;
+    await _boardRepo.updateBoardName(boardId, newName.trim());
+  }
+
+  // Option A: Just delete the board (Images stay in "All Images")
+  Future<void> deleteBoardOnly(int boardId) async {
+    await _boardRepo.deleteBoard(boardId);
+  }
+
+  // Option B: Delete Board AND all images inside it (Physical delete)
+  Future<void> deleteBoardAndContent(int boardId) async {
+    // 1. Get all images in this board
+    final images = await _boardImgRepo.getImagesOfBoard(boardId);
+    
+    // 2. Loop through and delete them physically
+    for (var img in images) {
+      final String id = img['id'];
+      final String path = img['filePath'];
+      
+      // Delete file
+      final file = File(path);
+      if (await file.exists()) {
+        await file.delete();
+      }
+      
+      // Delete from DB (images table)
+      await _imgRepo.deleteImage(id);
+    }
+
+    // 3. Finally delete the board itself
+    await _boardRepo.deleteBoard(boardId);
+  }
+
+  Future<void> copyAllImages(int sourceBoardId, int targetBoardId) async {
+    // 1. Get all images from source
+    final images = await _boardImgRepo.getImagesOfBoard(sourceBoardId);
+    
+    // 2. Add them to target (Repo handles duplicates usually, or simple insert)
+    for (var img in images) {
+      await _boardImgRepo.saveToBoard(targetBoardId, img['id']);
+    }
+  }
+
+  Future<void> moveAllImages(int sourceBoardId, int targetBoardId) async {
+    // 1. Copy first
+    await copyAllImages(sourceBoardId, targetBoardId);
+    
+    // 2. Remove from source
+    final images = await _boardImgRepo.getImagesOfBoard(sourceBoardId);
+    for (var img in images) {
+      await _boardImgRepo.removeImageFromBoard(sourceBoardId, img['id']);
+    }
+  }
+}
+\ No newline at end of file
diff --git a/lib/services/color_analyzer_service.dart b/lib/services/color_analyzer_service.dart
@@ -0,0 +1,16 @@
+import 'package:flutter/foundation.dart';
+import 'python_service.dart';
+
+class ColorAnalyzerService {
+  final PythonService _pythonService = PythonService();
+
+  Future<Map<String, dynamic>?> analyze(String imagePath) async {
+    try {
+      debugPrint("Starting Color Style Analysis...");
+      return await _pythonService.analyzeColorStyle(imagePath);
+    } catch (e) {
+      debugPrint("Color Analysis Exception: $e");
+      return {'success': false, 'error': e.toString()};
+    }
+  }
+}
diff --git a/lib/services/download_service.dart b/lib/services/download_service.dart
@@ -54,13 +54,13 @@ class DownloadService {
       }
 
       var contentType = response.headers['content-type'];
-      debugPrint("🔹 Type: $contentType");
+      debugPrint("Type: $contentType");
 
       
       // CASE A → HTML webpage (NOT a direct image)
       
       if (contentType != null && !contentType.startsWith('image/')) {
-        debugPrint("📄 It's a website. Extracting real image...");
+        debugPrint("It's a website. Extracting real image...");
         final document = parser.parse(response.body);
 
        
@@ -76,8 +76,8 @@ class DownloadService {
 
           // Force highest resolution
           cdn = _unescapeUrl(cdn);
-          cdn = cdn.split("=").first + "=s0";
-          debugPrint("📸 Google Photos Image Found: $cdn");
+          cdn = "${cdn.split("=").first}=s0";
+          debugPrint("Google Photos Image Found: $cdn");
 
           return downloadAndSaveImage(cdn);
         }
@@ -110,7 +110,7 @@ class DownloadService {
         if (viewerMatch != null) {
           String imgUrl = viewerMatch.group(1)!;
           imgUrl = _unescapeUrl(imgUrl);
-          debugPrint("🖼️ Google Viewer Direct Image: $imgUrl");
+          debugPrint("Google Viewer Direct Image: $imgUrl");
 
           return downloadAndSaveImage(imgUrl);
         }
@@ -123,13 +123,13 @@ class DownloadService {
             String? ogImg = meta.attributes['content'];
             if (ogImg != null) {
               ogImg = _unescapeUrl(ogImg);
-              debugPrint("🎯 OG Image Found: $ogImg");
+              debugPrint("OG Image Found: $ogImg");
               return downloadAndSaveImage(ogImg);
             }
           }
         }
 
-        debugPrint("❌ No valid image found inside this page.");
+        debugPrint("No valid image found inside this page.");
         return null;
       }
 
@@ -162,11 +162,11 @@ class DownloadService {
 
       await _repo.insertImage(imageId, filePath);
 
-      debugPrint("✅ Saved Successfully! → $filePath");
+      debugPrint("Saved Successfully! → $filePath");
       return imageId;
     } catch (e) {
-      debugPrint("❌ Error: $e");
+      debugPrint("Error: $e");
       return null;
     }
   }
-}
-\ No newline at end of file
+}
diff --git a/lib/services/embedding_analyzer_service.dart b/lib/services/embedding_analyzer_service.dart
@@ -0,0 +1,123 @@
+import 'dart:convert';
+import 'dart:math';
+import 'dart:io';
+import 'package:flutter/foundation.dart';
+import 'package:flutter/services.dart';
+import 'package:flutter_onnxruntime/flutter_onnxruntime.dart'; 
+import 'package:path_provider/path_provider.dart';
+import '../utils/clip_image_processor.dart';
+
+class EmbeddingAnalyzerService {
+  static OrtSession? _session;
+  static List<List<double>>? _centroids;
+  static List<String>? _classes;
+
+  static Future<void> initialize() async {
+    if (_session != null) return;
+
+    try {
+      debugPrint("Initializing Embeddings (Dino/CLIP)...");
+      
+      final rawAsset = await rootBundle.load('assets/clip_image_encoder.onnx');
+      final dir = await getTemporaryDirectory();
+      final modelFile = File('${dir.path}/clip_model.onnx');
+      
+      if (!await modelFile.exists()) {
+        await modelFile.writeAsBytes(rawAsset.buffer.asUint8List());
+      }
+
+      // Initialize runtime
+      final ort = OnnxRuntime();
+      _session = await ort.createSession(modelFile.path);
+
+      final jsonString = await rootBundle.loadString('assets/style_embeddings.json');
+      final jsonData = json.decode(jsonString);
+      
+      _classes = List<String>.from(jsonData['classes']);
+      _centroids = (jsonData['centroids'] as List).map((e) => List<double>.from(e)).toList();
+    } catch (e) {
+      debugPrint("Embeddings Init Error: $e");
+    }
+  }
+
+  static Future<Map<String, dynamic>?> analyze(String imagePath) async {
+    if (_session == null) await initialize();
+
+    OrtValue? inputOrt;
+    OrtValue? outputOrt;
+
+    try {
+      final float32Input = await ClipImageProcessor.preprocess(imagePath);
+      if (float32Input == null) return null;
+
+      // Create Tensor
+      // Note: ensure ClipImageProcessor returns a flat List<double>
+      inputOrt = await OrtValue.fromList(
+        float32Input, 
+        [1, 3, 224, 224]
+      );
+
+      // Run Inference
+      // 'image' is the input name for CLIP. Check your model if it differs (e.g. 'input')
+      final outputs = await _session!.run({"image": inputOrt});
+      
+      // Get Output
+      outputOrt = outputs['output']; // or outputs['image_features'] depending on model
+      // If outputOrt is null, try iterating outputs.values.first
+      final resultOrt = outputOrt ?? outputs.values.first;
+
+      if (resultOrt == null) throw Exception("No output from model");
+
+      // Flatten Output
+      final List<dynamic> rawList = await resultOrt.asList();
+      final List<double> imgFeat = [];
+      
+      void flatten(dynamic data) {
+        if (data is num) imgFeat.add(data.toDouble());
+        else if (data is List) for (var item in data) flatten(item);
+      }
+      flatten(rawList);
+
+      // Normalize & Compare
+      final normFeat = _l2Normalize(imgFeat);
+      List<Map<String, dynamic>> scores = [];
+      
+      for (int i = 0; i < _classes!.length; i++) {
+        double score = _dotProduct(normFeat, _centroids![i]);
+        scores.add({"name": _classes![i], "score": score * 100.0});
+      }
+
+      scores.sort((a, b) => (b['score'] as double).compareTo(a['score'] as double));
+
+      return {
+        "success": true,
+        "label": scores.first['name'],
+        "top5": scores.take(5).toList(),
+      };
+
+    } catch (e) {
+      debugPrint("Embeddings Analysis Error: $e");
+      return null;
+    } finally {
+      inputOrt?.dispose();
+      outputOrt?.dispose();
+    }
+  }
+
+  static List<double> _l2Normalize(List<double> vec) {
+    double sum = vec.fold(0, (p, c) => p + c * c);
+    double norm = sqrt(sum);
+    if (norm == 0) return vec;
+    return vec.map((v) => v / norm).toList();
+  }
+
+  static double _dotProduct(List<double> a, List<double> b) {
+    double sum = 0;
+    // Ensure lengths match to avoid range errors
+    int len = min(a.length, b.length);
+    for (int i = 0; i < len; i++) {
+      sum += a[i] * b[i];
+    }
+    return sum;
+  }
+}
diff --git a/lib/services/image_analyzer_service.dart b/lib/services/image_analyzer_service.dart
@@ -1,82 +1,53 @@
-import 'package:flutter/foundation.dart';
-import 'package:flutter/services.dart';
 import 'dart:convert';
+import 'package:flutter/foundation.dart';
+
+// Import the segregated services
+import 'layout_analyzer_service.dart';
+import 'color_analyzer_service.dart';
+import 'texture_analyzer_service.dart';
+import 'embedding_analyzer_service.dart';
 import 'emotional_embeddings_service.dart'; 
 import 'lighting_service.dart';
 
 class ImageAnalyzerService {
-  // Channel for Python/Chaquopy (OpenCV)
-  static const MethodChannel _channel = MethodChannel(
-    'com.example.adobe/image_analyzer',
-  );
+  /// Runs all 4 analysis tools in parallel and returns a combined JSON Map.
+  static Future<Map<String, dynamic>> analyzeFullSuite(String imagePath) async {
+    // 1. Instantiate services
+    final layoutService = LayoutAnalyzerService();
+    final colorService = ColorAnalyzerService();
+    final textureService = TextureAnalyzerService();
+    // EmbeddingService is static
 
-  static Future<Map<String, dynamic>?> analyzeImage(String imagePath) async {
     try {
-      // 1. Run BOTH analyzers in parallel (Faster performance)
+      // 2. Run in parallel for performance
       final results = await Future.wait([
-        // Task A: Python OpenCV (Composition, Colors, Geometry)
-        _channel.invokeMethod('analyzeImage', {'imagePath': imagePath}),
-
-        // Task C: Emotion detection
-        EmotionalEmbeddingsService.analyzeImage(imagePath),
-
-        // Task D: Lighting style detection
-        LightingEmbeddingsService.analyzeImage(imagePath),
-
-
+        layoutService.analyze(imagePath),           // Index 0: Layout
+        colorService.analyze(imagePath),            // Index 1: Color
+        textureService.analyze(imagePath),          // Index 2: Texture
+        EmbeddingAnalyzerService.analyze(imagePath) // Index 3: Embeddings
       ]);
 
-      // 2. Extract Results
-      final String? pyResultJson = results[0] as String?;
-      final Map<String, dynamic>? emotionMap =
-          results[1] as Map<String, dynamic>?;
-      final Map<String, dynamic>? lightingMap =
-          results[2] as Map<String, dynamic>?;
-      // 3. Parse Python Result (This is the Base)
-      Map<String, dynamic> finalResult = {};
-
-      if (pyResultJson != null) {
-        try {
-          finalResult = json.decode(pyResultJson);
-        } catch (e) {
-          debugPrint("Error decoding Python JSON: $e");
-          // Continue even if python fails, so we can try to show AI results
-          finalResult = {
-            'success': true,
-            'error_partial': 'Python analysis failed',
-          };
-        }
-      } else {
-        finalResult = {'success': true};
-      }
-
-      // 4. Merge AI Style Result into the Base JSON
-      if (emotionMap != null && emotionMap['success'] == true) {
-        finalResult['emotion_label'] = emotionMap['label']; 
-        finalResult['emotion_scores'] =
-            emotionMap['scores']; // Map of style probabilities
-      }
-
-      if (lightingMap != null && lightingMap['success'] == true) {
-        finalResult['lighting_label'] = lightingMap['label']; 
-        finalResult['lighting_scores'] =
-            lightingMap['scores']; // Map of style probabilities
-      }
+      // 3. Construct Unified Result
+      final Map<String, dynamic> combinedResult = {
+        'success': true,
+        'timestamp': DateTime.now().toIso8601String(),
+        'layout': results[0],
+        'color': results[1],
+        'texture': results[2],   // This is a List
+        'embedding': results[3],
+      };
 
-      debugPrint(
-        "Platform analyzing image finalResult[\"emotion_label\"]: ${finalResult["emotion_label"]}, finalResult[\"emotion_scores\"]: ${finalResult["emotion_scores"]}",
-      );
-      debugPrint(
-        "Platform analyzing image finalResult[\"lighting_label\"]: ${finalResult["lighting_label"]}, finalResult[\"lighting_scores\"]: ${finalResult["lighting_scores"]}",
-      );
+      return combinedResult;
 
-      return finalResult;
-    } on PlatformException catch (e) {
-      debugPrint("Platform Error analyzing image: ${e.message}");
-      return {'success': false, 'error': e.message ?? 'Unknown error'};
     } catch (e) {
-      debugPrint("Unexpected error: $e");
-      return {'success': false, 'error': e.toString()};
+      debugPrint("Master Analysis Failed: $e");
+      return {
+        'success': false,
+        'error': e.toString(),
+      };
+    } finally {
+      // 4. Cleanup heavy resources
+      textureService.dispose();
     }
   }
 }
diff --git a/lib/services/image_service.dart b/lib/services/image_service.dart
@@ -4,26 +4,65 @@ import 'dart:io';
 import 'package:path_provider/path_provider.dart';
 import 'package:uuid/uuid.dart';
 import '../data/repos/image_repo.dart';
+import '../data/repos/board_image_repo.dart';
 
 class ImageService {
-  final _repo = ImageRepository();
+  final _imgRepo = ImageRepository();
+  final _boardImgRepo = BoardImageRepository();
 
   Future<String> saveImage(File file) async {
     final dir = await getApplicationDocumentsDirectory();
     final folder = Directory("${dir.path}/images");
 
     if (!await folder.exists()) {
-      await folder.create();
+      await folder.create(recursive: true);
     }
 
     final id = const Uuid().v4();
-    final ext = file.path.split('.').last;
+    // Handle cases where file might not have an extension
+    String ext = 'jpg';
+    if (file.path.contains('.')) {
+      ext = file.path.split('.').last;
+    }
 
     final newPath = "${folder.path}/$id.$ext";
     final savedFile = await file.copy(newPath);
 
-    await _repo.insertImage(id, savedFile.path);
+    await _imgRepo.insertImage(id, savedFile.path);
 
     return id;
   }
-}
+
+  // 1. DELETE IMAGE (Completely removes file and DB entries)
+  Future<void> deleteImagePermanently(String imageId) async {
+    // A. Get path to delete physical file
+    final path = await _imgRepo.getImagePath(imageId);
+    if (path != null) {
+      final file = File(path);
+      if (await file.exists()) {
+        await file.delete();
+      }
+    }
+    // B. Delete from DB (Repo handles cascade to board_images)
+    await _imgRepo.deleteImage(imageId);
+  }
+
+  // 2. COPY TO BOARD (Keep in old board, add to new board)
+  Future<void> copyImageToBoard(String imageId, int targetBoardId) async {
+    // Just add a new entry in the mapping table
+    await _boardImgRepo.saveToBoard(targetBoardId, imageId);
+  }
+
+  // 3. MOVE TO BOARD (Remove from old board, add to new board)
+  Future<void> moveImage(String imageId, int currentBoardId, int targetBoardId) async {
+    // A. Add to new
+    await _boardImgRepo.saveToBoard(targetBoardId, imageId);
+    // B. Remove from old
+    await _boardImgRepo.removeImageFromBoard(currentBoardId, imageId);
+  }
+  
+  // 4. REMOVE FROM BOARD (But keep file in "All Images")
+  Future<void> removeImageFromSpecificBoard(String imageId, int boardId) async {
+    await _boardImgRepo.removeImageFromBoard(boardId, imageId);
+  }
+}
+\ No newline at end of file
diff --git a/lib/services/instagram_download_service.dart b/lib/services/instagram_download_service.dart
@@ -1,74 +1,52 @@
 import 'dart:io';
-import 'dart:convert';
-import 'package:flutter/services.dart';
 import 'package:path_provider/path_provider.dart';
 import 'package:uuid/uuid.dart';
 import 'package:adobe/data/repos/image_repo.dart';
+import 'python_service.dart';
 
 class InstagramDownloadService {
-  static const MethodChannel _channel = MethodChannel(
-    'com.example.adobe/instagram_downloader',
-  );
+  final _pythonService = PythonService();
   final _repo = ImageRepository();
   final _uuid = const Uuid();
 
   Future<List<String>?> downloadInstagramImage(String url) async {
     try {
-      // Get output directory
       final dir = await getApplicationDocumentsDirectory();
+      
+      // Create directories
       final instagramDir = Directory('${dir.path}/instagram_downloads');
-      if (!await instagramDir.exists()) {
-        await instagramDir.create(recursive: true);
-      }
+      if (!await instagramDir.exists()) await instagramDir.create(recursive: true);
 
-      // Call Python function
-      final String? result = await _channel.invokeMethod(
-        'downloadInstagramImage',
-        {'url': url, 'outputDir': instagramDir.path},
-      );
+      final imagesDir = Directory('${dir.path}/images');
+      if (!await imagesDir.exists()) await imagesDir.create(recursive: true);
 
-      if (result != null) {
-        final Map<String, dynamic> jsonResult = json.decode(result);
+      // Call Python Service
+      final jsonResult = await _pythonService.downloadInstagramImage(url, instagramDir.path);
 
-        if (jsonResult['success'] == true) {
-          final List<dynamic> paths = jsonResult['file_paths'];
-          final List<String> savedImageIds = [];
+      if (jsonResult != null && jsonResult['success'] == true) {
+        final List<dynamic> paths = jsonResult['file_paths'];
+        final List<String> savedImageIds = [];
 
-          final imagesDir = Directory('${dir.path}/images');
-          if (!await imagesDir.exists()) {
-            await imagesDir.create(recursive: true);
-          }
+        // Save downloaded files to app storage and DB
+        for (var path in paths) {
+          final String sourcePath = path as String;
+          final File sourceFile = File(sourcePath);
 
-          // Iterate through all downloaded files
-          for (var path in paths) {
-            final String sourcePath = path as String;
-            
+          if (await sourceFile.exists()) {
             final String imageId = _uuid.v4();
             final extension = sourcePath.split('.').last;
             final String targetPath = '${imagesDir.path}/$imageId.$extension';
 
-            // Copy file
-            final sourceFile = File(sourcePath);
-            if (await sourceFile.exists()) {
-              await sourceFile.copy(targetPath);
-
-              // Save to database
-              await _repo.insertImage(imageId, targetPath);
-              
-              savedImageIds.add(imageId);
-            }
+            await sourceFile.copy(targetPath);
+            await _repo.insertImage(imageId, targetPath);
+            savedImageIds.add(imageId);
           }
-
-          return savedImageIds.isNotEmpty ? savedImageIds : null;
-        } else {
-          throw Exception(jsonResult['error'] ?? 'Unknown error');
         }
+        return savedImageIds.isNotEmpty ? savedImageIds : null;
       }
       return null;
-    } on PlatformException catch (e) {
-      throw Exception("Error downloading Instagram image: ${e.message}");
     } catch (e) {
-      throw Exception("Unexpected error: $e");
+      throw Exception("Download failed: $e");
     }
   }
 }
diff --git a/lib/services/layout_analyzer_service.dart b/lib/services/layout_analyzer_service.dart
@@ -0,0 +1,16 @@
+import 'package:flutter/foundation.dart';
+import 'python_service.dart';
+
+class LayoutAnalyzerService {
+  final PythonService _pythonService = PythonService();
+
+  Future<Map<String, dynamic>?> analyze(String imagePath) async {
+    try {
+      debugPrint("Starting Layout Analysis...");
+      return await _pythonService.analyzeLayout(imagePath);
+    } catch (e) {
+      debugPrint("Layout Analysis Exception: $e");
+      return {'success': false, 'error': e.toString()};
+    }
+  }
+}
diff --git a/lib/services/python_service.dart b/lib/services/python_service.dart
@@ -0,0 +1,45 @@
+import 'dart:convert';
+import 'package:flutter/foundation.dart';
+import 'package:flutter/services.dart';
+
+class PythonService {
+  static const MethodChannel _channel = MethodChannel('com.example.adobe/methods');
+
+  /// 1. Layout Analysis (OpenCV)
+  Future<Map<String, dynamic>> analyzeLayout(String imagePath) async {
+    try {
+      final String? result = await _channel.invokeMethod('analyzeLayout', {'imagePath': imagePath});
+      if (result == null) return {'success': false, 'error': 'Null response'};
+      return json.decode(result);
+    } catch (e) {
+      debugPrint("Layout Analysis Error: $e");
+      return {'success': false, 'error': e.toString()};
+    }
+  }
+
+  /// 2. Color Style Analysis (Scikit-Learn)
+  Future<Map<String, dynamic>> analyzeColorStyle(String imagePath) async {
+    try {
+      final String? result = await _channel.invokeMethod('analyzeColorStyle', {'imagePath': imagePath});
+      if (result == null) return {'success': false, 'error': 'Null response'};
+      return json.decode(result);
+    } catch (e) {
+      debugPrint("Color Analysis Error: $e");
+      return {'success': false, 'error': e.toString()};
+    }
+  }
+
+  /// 3. Instagram Downloader
+  Future<Map<String, dynamic>?> downloadInstagramImage(String url, String outputDir) async {
+    try {
+      final String? result = await _channel.invokeMethod('downloadInstagramImage', {
+        'url': url, 
+        'outputDir': outputDir
+      });
+      return result != null ? json.decode(result) : null;
+    } catch (e) {
+      debugPrint("Instagram Download Error: $e");
+      return null;
+    }
+  }
+}
diff --git a/lib/services/texture_analyzer_service.dart b/lib/services/texture_analyzer_service.dart
@@ -0,0 +1,152 @@
+import 'dart:io';
+import 'dart:math';
+import 'dart:convert';
+import 'package:flutter/foundation.dart';
+import 'package:flutter/services.dart';
+import 'package:image/image.dart' as img;
+import 'package:flutter_onnxruntime/flutter_onnxruntime.dart';
+import 'package:path_provider/path_provider.dart';
+
+class TextureAnalyzerService {
+  OrtSession? _session;
+  Map<String, List<double>>? _centroids;
+
+  static const int INPUT_SIZE = 224;
+  static const int EMBED_DIM = 384; 
+  static const int MAX_COUNT = 5;
+  static const double RELATIVE_THRESH = 0.85;
+  static const double ABSOLUTE_FLOOR = 0.15;
+
+  Future<void> _loadResources() async {
+    if (_session != null) return;
+
+    try {
+      debugPrint("Initializing Texture Service...");
+      final dir = await getApplicationDocumentsDirectory();
+      final modelFile = File('${dir.path}/dinov2.onnx');
+      final dataFile = File('${dir.path}/dinov2.onnx.data'); 
+
+      if (!await modelFile.exists()) {
+        final data = await rootBundle.load('assets/dinov2.onnx');
+        await modelFile.writeAsBytes(data.buffer.asUint8List(), flush: true);
+      }
+
+      // Check for external data file
+      if (!await dataFile.exists()) {
+         try {
+           final data = await rootBundle.load('assets/dinov2.onnx.data');
+           await dataFile.writeAsBytes(data.buffer.asUint8List(), flush: true);
+         } catch (_) { 
+           // External data might not exist for all models
+         }
+      }
+
+      _session = await OnnxRuntime().createSession(modelFile.path);
+
+      final jsonStr = await rootBundle.loadString('assets/texture_centroids.json');
+      final Map<String, dynamic> jsonMap = json.decode(jsonStr);
+      _centroids = {};
+      jsonMap.forEach((k, v) => _centroids![k] = List<double>.from(v));
+
+    } catch (e) {
+      debugPrint("Texture Service Init Error: $e");
+    }
+  }
+
+  Future<List<Map<String, dynamic>>> analyze(String path) async {
+    await _loadResources();
+    if (_session == null || _centroids == null) return [];
+
+    OrtValue? inputOrt;
+    OrtValue? outputOrt;
+
+    try {
+      // 1. Preprocess
+      final bytes = await File(path).readAsBytes();
+      final image = img.decodeImage(bytes);
+      if (image == null) return [];
+
+      final resized = img.copyResize(image, width: INPUT_SIZE, height: INPUT_SIZE);
+
+      // 2. Normalize (ImageNet stats)
+      final List<double> inputFloats = List.filled(1 * 3 * INPUT_SIZE * INPUT_SIZE, 0.0);
+      int pixelIndex = 0;
+      for (int y = 0; y < INPUT_SIZE; y++) {
+        for (int x = 0; x < INPUT_SIZE; x++) {
+          final pixel = resized.getPixel(x, y);
+          inputFloats[pixelIndex] = ((pixel.r / 255.0) - 0.485) / 0.229;
+          inputFloats[pixelIndex + (INPUT_SIZE * INPUT_SIZE)] = ((pixel.g / 255.0) - 0.456) / 0.224;
+          inputFloats[pixelIndex + (2 * INPUT_SIZE * INPUT_SIZE)] = ((pixel.b / 255.0) - 0.406) / 0.225;
+          pixelIndex++;
+        }
+      }
+
+      // 3. Inference
+      inputOrt = await OrtValue.fromList(inputFloats, [1, 3, INPUT_SIZE, INPUT_SIZE]);
+      final outputs = await _session!.run({"input": inputOrt});
+      outputOrt = outputs['output'];
+      
+      if (outputOrt == null) throw Exception("Output tensor missing");
+
+      // Flatten output
+      final dynamic outputRaw = await outputOrt.asList();
+      final List<double> rawOutput = [];
+      void flatten(dynamic data) {
+        if (data is num) rawOutput.add(data.toDouble());
+        else if (data is List) for (var item in data) flatten(item);
+      }
+      flatten(outputRaw);
+
+      // 4. Scoring (Cosine Similarity)
+      Map<String, double> rawScores = {};
+      _centroids!.forEach((name, centroid) {
+        double sumSim = 0.0;
+        int patches = 256; 
+        for (int i = 0; i < patches; i++) {
+          int start = i * EMBED_DIM;
+          if (start + EMBED_DIM <= rawOutput.length) {
+             sumSim += _cosineSim(rawOutput.sublist(start, start + EMBED_DIM), centroid);
+          }
+        }
+        rawScores[name] = sumSim / patches;
+      });
+
+      // 5. Filter & Sort
+      var sorted = rawScores.entries.toList()..sort((a, b) => b.value.compareTo(a.value));
+      List<Map<String, dynamic>> finalResults = [];
+
+      if (sorted.isNotEmpty) {
+        double topScore = sorted.first.value;
+        for (var entry in sorted) {
+          if (finalResults.length >= MAX_COUNT) break;
+          if (entry.value < ABSOLUTE_FLOOR) continue;
+          if (entry.value < (topScore * RELATIVE_THRESH)) break;
+          
+          finalResults.add({'name': entry.key, 'score': entry.value});
+        }
+      }
+      return finalResults;
+
+    } catch (e) {
+      debugPrint("Texture Analysis Failed: $e");
+      return [];
+    } finally {
+      inputOrt?.dispose();
+      outputOrt?.dispose();
+    }
+  }
+
+  double _cosineSim(List<double> a, List<double> b) {
+    double dot = 0.0, nA = 0.0, nB = 0.0;
+    for (int i = 0; i < a.length; i++) {
+      dot += a[i] * b[i];
+      nA += a[i] * a[i];
+      nB += b[i] * b[i];
+    }
+    return (nA == 0 || nB == 0) ? 0.0 : dot / (sqrt(nA) * sqrt(nB));
+  }
+  
+  void dispose() {
+    _session?.close();
+  }
+}
diff --git a/lib/services/theme_service.dart b/lib/services/theme_service.dart
@@ -0,0 +1,39 @@
+import 'package:flutter/material.dart';
+import 'package:shared_preferences/shared_preferences.dart';
+
+// Global instance for easy access
+final themeService = ThemeService();
+
+class ThemeService with ChangeNotifier {
+  ThemeMode _mode = ThemeMode.system;
+  ThemeMode get mode => _mode;
+
+  Future<void> loadTheme() async {
+    final prefs = await SharedPreferences.getInstance();
+    final String? saved = prefs.getString('theme_mode');
+
+    if (saved == 'light') {
+      _mode = ThemeMode.light;
+    } else if (saved == 'dark') {
+      _mode = ThemeMode.dark;
+    } else {
+      _mode = ThemeMode.system;
+    }
+
+    notifyListeners();
+  }
+
+  Future<void> toggleTheme() async {
+    final prefs = await SharedPreferences.getInstance();
+
+    if (_mode == ThemeMode.dark) {
+      _mode = ThemeMode.light;
+      await prefs.setString('theme_mode', 'light');
+    } else {
+      _mode = ThemeMode.dark;
+      await prefs.setString('theme_mode', 'dark');
+    }
+
+    notifyListeners();
+  }
+}
+\ No newline at end of file
diff --git a/lib/ui/pages/all_image_page.dart b/lib/ui/pages/all_image_page.dart
@@ -0,0 +1,126 @@
+import 'dart:io';
+import 'package:flutter/material.dart';
+import 'package:adobe/data/repos/image_repo.dart';
+import 'package:adobe/services/image_service.dart';
+import 'package:adobe/services/theme_service.dart';
+import 'package:adobe/data/models/image_model.dart'; // Import Model
+import '../widgets/analysis_dialog.dart'; // Import Dialog
+
+class AllImagesPage extends StatefulWidget {
+  const AllImagesPage({super.key});
+
+  @override
+  State<AllImagesPage> createState() => _AllImagesPageState();
+}
+
+class _AllImagesPageState extends State<AllImagesPage> {
+  final _imageRepo = ImageRepository();
+  final _imageService = ImageService();
+  late Future<List<Map<String, dynamic>>> _imagesFuture;
+
+  @override
+  void initState() {
+    super.initState();
+    _refreshImages();
+  }
+
+  void _refreshImages() {
+    setState(() {
+      _imagesFuture = _imageRepo.getAllImages();
+    });
+  }
+
+  @override
+  Widget build(BuildContext context) {
+    return Scaffold(
+      appBar: AppBar(
+        title: const Column(
+          mainAxisAlignment: MainAxisAlignment.center,
+          children: [
+            Text("All Images", style: TextStyle(fontWeight: FontWeight.bold)),
+            Text("Tap for analysis • Long press for options", style: TextStyle(fontSize: 12)),
+          ],
+        ),
+        centerTitle: true,
+        leading: IconButton(
+          icon: Icon(themeService.mode == ThemeMode.dark ? Icons.light_mode : Icons.dark_mode),
+          onPressed: () { themeService.toggleTheme(); },
+        ),
+      ),
+      body: FutureBuilder<List<Map<String, dynamic>>>(
+        future: _imagesFuture,
+        builder: (context, snapshot) {
+          if (!snapshot.hasData) return const Center(child: CircularProgressIndicator());
+          
+          final imagesData = snapshot.data!;
+          if (imagesData.isEmpty) return const Center(child: Text("No images saved yet."));
+
+          return GridView.builder(
+            padding: const EdgeInsets.all(8),
+            gridDelegate: const SliverGridDelegateWithFixedCrossAxisCount(
+              crossAxisCount: 2, crossAxisSpacing: 8, mainAxisSpacing: 8,
+            ),
+            itemCount: imagesData.length,
+            itemBuilder: (context, index) {
+              // Convert raw Map to ImageModel for the dialog
+              final imgModel = ImageModel.fromMap(imagesData[index]);
+              final file = File(imgModel.filePath);
+
+              return GestureDetector(
+                // ADDED: Tap to view analysis
+                onTap: () {
+                  showDialog(
+                    context: context,
+                    builder: (c) => AnalysisDialog(image: imgModel),
+                  );
+                },
+                onLongPress: () => _confirmDeleteForever(imgModel.id),
+                child: Stack(
+                  fit: StackFit.expand,
+                  children: [
+                    ClipRRect(
+                      borderRadius: BorderRadius.circular(12),
+                      child: Image.file(file, fit: BoxFit.cover, errorBuilder: (_,__,___) => const Icon(Icons.broken_image)),
+                    ),
+                    // ADDED: Icon indicator if analysis exists
+                    if (imgModel.analysisData != null)
+                      Positioned(
+                        top: 8, right: 8,
+                        child: Container(
+                          padding: const EdgeInsets.all(4),
+                          decoration: const BoxDecoration(color: Colors.black54, shape: BoxShape.circle),
+                          child: const Icon(Icons.analytics, size: 14, color: Colors.white),
+                        ),
+                      )
+                  ],
+                ),
+              );
+            },
+          );
+        },
+      ),
+    );
+  }
+
+  void _confirmDeleteForever(String imageId) {
+    showDialog(
+      context: context,
+      builder: (c) => AlertDialog(
+        title: const Text("Delete Permanently?"),
+        content: const Text("This will remove the image from your device and ALL boards."),
+        actions: [
+          TextButton(onPressed: () => Navigator.pop(c), child: const Text("Cancel")),
+          ElevatedButton(
+            style: ElevatedButton.styleFrom(backgroundColor: Colors.red),
+            onPressed: () async {
+              await _imageService.deleteImagePermanently(imageId);
+              if (c.mounted) Navigator.pop(c);
+              _refreshImages();
+            },
+            child: const Text("Delete"),
+          ),
+        ],
+      ),
+    );
+  }
+}
diff --git a/lib/ui/pages/board_detail_page.dart b/lib/ui/pages/board_detail_page.dart
@@ -1,5 +1,3 @@
-// lib/ui/pages/board_detail_page.dart
-
 import 'dart:io';
 import 'dart:convert';
 import 'package:flutter/material.dart';
@@ -10,11 +8,14 @@ import 'package:adobe/data/models/board_model.dart';
 import 'package:adobe/data/models/image_model.dart';
 import 'package:adobe/data/repos/board_image_repo.dart';
 import 'package:adobe/data/repos/image_repo.dart';
-import 'package:adobe/services/image_analyzer_service.dart';
+import 'package:adobe/data/repos/board_repo.dart';
+import 'package:adobe/services/image_service.dart';
+import 'package:adobe/services/theme_service.dart';
+import 'package:adobe/services/image_analyzer_service.dart'; // Master Service
+import '../widgets/analysis_dialog.dart'; // Dialog Widget
 
 class BoardDetailPage extends StatefulWidget {
   final Board board;
-
   const BoardDetailPage({super.key, required this.board});
 
   @override
@@ -24,8 +25,11 @@ class BoardDetailPage extends StatefulWidget {
 class _BoardDetailPageState extends State<BoardDetailPage> {
   final _boardImageRepo = BoardImageRepository();
   final _imageRepo = ImageRepository();
+  final _boardRepo = BoardRepository(); 
+  final _imageService = ImageService(); 
   final _imagePicker = ImagePicker();
   final _uuid = const Uuid();
+  
   late Future<List<ImageModel>> _imagesFuture;
 
   @override
@@ -41,17 +45,12 @@ class _BoardDetailPageState extends State<BoardDetailPage> {
 
   Future<void> _pickImageFromGallery() async {
     try {
-      final XFile? image = await _imagePicker.pickImage(
-        source: ImageSource.gallery,
-      );
+      final XFile? image = await _imagePicker.pickImage(source: ImageSource.gallery);
       if (image == null) return;
 
-      // Copy to images directory
       final dir = await getApplicationDocumentsDirectory();
       final imagesDir = Directory('${dir.path}/images');
-      if (!await imagesDir.exists()) {
-        await imagesDir.create(recursive: true);
-      }
+      if (!await imagesDir.exists()) await imagesDir.create(recursive: true);
 
       final extension = image.path.split('.').last;
       final imageId = _uuid.v4();
@@ -64,155 +63,79 @@ class _BoardDetailPageState extends State<BoardDetailPage> {
       // Trigger analysis
       _analyzeImage(imageId, targetPath);
 
-      if (mounted) {
-        setState(() {
-          _imagesFuture = _fetchImages();
-        });
-      }
+      if (mounted) setState(() { _imagesFuture = _fetchImages(); });
     } catch (e) {
-      if (mounted) {
-        ScaffoldMessenger.of(
-          context,
-        ).showSnackBar(SnackBar(content: Text('Error picking image: $e')));
-      }
+      if (mounted) ScaffoldMessenger.of(context).showSnackBar(SnackBar(content: Text('Error: $e')));
     }
   }
 
   Future<void> _analyzeImage(String imageId, String imagePath) async {
     try {
-      final result = await ImageAnalyzerService.analyzeImage(imagePath);
-      if (result != null && result['success'] == true) {
+      // Changed to use Master Runner
+      final result = await ImageAnalyzerService.analyzeFullSuite(imagePath);
+      if (result['success'] == true) {
         await _imageRepo.updateImageAnalysis(imageId, json.encode(result));
-        if (mounted) {
-          setState(() {
-            _imagesFuture = _fetchImages();
-          });
-        }
+        if (mounted) setState(() { _imagesFuture = _fetchImages(); });
       }
     } catch (e) {
-      debugPrint('Error analyzing image: $e');
+      debugPrint('Analysis Error: $e');
     }
   }
 
   void _showAnalysisDialog(ImageModel image) {
-    if (image.analysisData == null) {
-      ScaffoldMessenger.of(context).showSnackBar(
-        const SnackBar(content: Text('Analysis not available for this image')),
-      );
-      return;
-    }
-
-    try {
-      final analysis = json.decode(image.analysisData!);
-      if (analysis['success'] != true) {
-        ScaffoldMessenger.of(context).showSnackBar(
-          const SnackBar(content: Text('Analysis failed for this image')),
-        );
-        return;
-      }
-
-      final scores = analysis['scores'] as Map<String, dynamic>;
-      final top5 = analysis['top5'] as List;
+    showDialog(
+      context: context,
+      builder: (context) => AnalysisDialog(image: image),
+    );
+  }
 
-      showDialog(
-        context: context,
-        builder:
-            (context) => Dialog(
-              child: Container(
-                padding: const EdgeInsets.all(16),
-                constraints: const BoxConstraints(
-                  maxWidth: 400,
-                  maxHeight: 600,
-                ),
-                child: Column(
-                  mainAxisSize: MainAxisSize.min,
-                  crossAxisAlignment: CrossAxisAlignment.start,
-                  children: [
-                    const Text(
-                      'Image Analysis',
-                      style: TextStyle(
-                        fontSize: 20,
-                        fontWeight: FontWeight.bold,
-                      ),
-                    ),
-                    const SizedBox(height: 16),
-                    const Text(
-                      'Top 5 Features:',
-                      style: TextStyle(
-                        fontSize: 16,
-                        fontWeight: FontWeight.w600,
-                      ),
-                    ),
-                    const SizedBox(height: 8),
-                    Expanded(
-                      child: ListView.builder(
-                        shrinkWrap: true,
-                        itemCount: top5.length,
-                        itemBuilder: (context, index) {
-                          final item = top5[index];
-                          return Padding(
-                            padding: const EdgeInsets.symmetric(vertical: 4),
-                            child: Row(
-                              mainAxisAlignment: MainAxisAlignment.spaceBetween,
-                              children: [
-                                Text(item['name']),
-                                Text(
-                                  '${(item['score'] * 100).toStringAsFixed(1)}%',
-                                  style: const TextStyle(
-                                    fontWeight: FontWeight.bold,
-                                  ),
-                                ),
-                              ],
-                            ),
-                          );
-                        },
-                      ),
-                    ),
-                    const SizedBox(height: 16),
-                    const Text(
-                      'All Scores:',
-                      style: TextStyle(
-                        fontSize: 16,
-                        fontWeight: FontWeight.w600,
-                      ),
-                    ),
-                    const SizedBox(height: 8),
-                    Expanded(
-                      child: ListView.builder(
-                        shrinkWrap: true,
-                        itemCount: scores.length,
-                        itemBuilder: (context, index) {
-                          final entry = scores.entries.elementAt(index);
-                          return Padding(
-                            padding: const EdgeInsets.symmetric(vertical: 2),
-                            child: Row(
-                              mainAxisAlignment: MainAxisAlignment.spaceBetween,
-                              children: [
-                                Text(entry.key),
-                                Text(
-                                  '${(entry.value * 100).toStringAsFixed(1)}%',
-                                ),
-                              ],
-                            ),
-                          );
-                        },
-                      ),
-                    ),
-                    const SizedBox(height: 16),
-                    TextButton(
-                      onPressed: () => Navigator.pop(context),
-                      child: const Text('Close'),
-                    ),
-                  ],
-                ),
-              ),
+  void _showImageOptionsDialog(ImageModel img) {
+    showModalBottomSheet(
+      context: context,
+      builder: (context) => Container(
+        padding: const EdgeInsets.all(16),
+        child: Column(
+          mainAxisSize: MainAxisSize.min,
+          children: [
+            ListTile(
+              leading: const Icon(Icons.remove_circle_outline, color: Colors.orange),
+              title: const Text("Remove from this Board"),
+              onTap: () async {
+                await _imageService.removeImageFromSpecificBoard(img.id, widget.board.id);
+                if (context.mounted) Navigator.pop(context);
+                setState(() { _imagesFuture = _fetchImages(); });
+              },
             ),
-      );
-    } catch (e) {
-      ScaffoldMessenger.of(
-        context,
-      ).showSnackBar(SnackBar(content: Text('Error displaying analysis: $e')));
-    }
+            ListTile(
+              leading: const Icon(Icons.delete_forever, color: Colors.red),
+              title: const Text("Delete Completely"),
+              onTap: () { Navigator.pop(context); _confirmDeleteForever(img.id); },
+            ),
+          ],
+        ),
+      ),
+    );
+  }
+
+  void _confirmDeleteForever(String imageId) {
+    showDialog(
+      context: context,
+      builder: (c) => AlertDialog(
+        title: const Text("Delete Permanently?"),
+        actions: [
+          TextButton(onPressed: () => Navigator.pop(c), child: const Text("Cancel")),
+          ElevatedButton(
+            style: ElevatedButton.styleFrom(backgroundColor: Colors.red),
+            onPressed: () async {
+              await _imageService.deleteImagePermanently(imageId);
+              if (c.mounted) Navigator.pop(c);
+              setState(() { _imagesFuture = _fetchImages(); });
+            },
+            child: const Text("Delete"),
+          ),
+        ],
+      ),
+    );
   }
 
   @override
@@ -220,36 +143,25 @@ class _BoardDetailPageState extends State<BoardDetailPage> {
     return Scaffold(
       appBar: AppBar(
         title: Text(widget.board.name),
+        leading: IconButton(
+          icon: Icon(themeService.mode == ThemeMode.dark ? Icons.light_mode : Icons.dark_mode),
+          onPressed: () { themeService.toggleTheme(); },
+        ),
         actions: [
-          IconButton(
-            icon: const Icon(Icons.photo_library),
-            onPressed: _pickImageFromGallery,
-            tooltip: 'Add from Gallery',
-          ),
+          IconButton(icon: const Icon(Icons.photo_library), onPressed: _pickImageFromGallery),
         ],
       ),
       body: FutureBuilder<List<ImageModel>>(
         future: _imagesFuture,
         builder: (context, snapshot) {
-          if (snapshot.connectionState == ConnectionState.waiting) {
-            return const Center(child: CircularProgressIndicator());
-          }
-
-          if (!snapshot.hasData || snapshot.data!.isEmpty) {
-            return const Center(
-              child: Text("No images saved to this board yet."),
-            );
-          }
-
+          if (!snapshot.hasData) return const Center(child: CircularProgressIndicator());
           final images = snapshot.data!;
+          if (images.isEmpty) return const Center(child: Text("No images."));
 
           return GridView.builder(
             padding: const EdgeInsets.all(8),
             gridDelegate: const SliverGridDelegateWithFixedCrossAxisCount(
-              crossAxisCount: 2,
-              crossAxisSpacing: 8,
-              mainAxisSpacing: 8,
-              childAspectRatio: 0.8, // Taller for images
+              crossAxisCount: 2, crossAxisSpacing: 8, mainAxisSpacing: 8, childAspectRatio: 0.8,
             ),
             itemCount: images.length,
             itemBuilder: (context, index) {
@@ -258,51 +170,20 @@ class _BoardDetailPageState extends State<BoardDetailPage> {
 
               return GestureDetector(
                 onTap: () => _showAnalysisDialog(img),
+                onLongPress: () => _showImageOptionsDialog(img),
                 child: Stack(
+                  fit: StackFit.expand,
                   children: [
                     ClipRRect(
                       borderRadius: BorderRadius.circular(12),
-                      child:
-                          file.existsSync()
-                              ? Image.file(
-                                file,
-                                fit: BoxFit.cover,
-                                errorBuilder: (context, error, stackTrace) {
-                                  return Container(
-                                    color: Colors.grey[300],
-                                    alignment: Alignment.center,
-                                    child: const Icon(
-                                      Icons.broken_image,
-                                      color: Colors.grey,
-                                    ),
-                                  );
-                                },
-                              )
-                              : Container(
-                                color: Colors.grey[300],
-                                child: const Icon(
-                                  Icons.error,
-                                  color: Colors.red,
-                                ),
-                              ),
+                      child: Image.file(file, fit: BoxFit.cover, errorBuilder: (_,__,___) => const Icon(Icons.error)),
                     ),
                     if (img.analysisData != null)
-                      Positioned(
-                        top: 8,
-                        right: 8,
-                        child: Container(
-                          padding: const EdgeInsets.all(6),
-                          decoration: BoxDecoration(
-                            color: Colors.green.withValues(alpha: 0.8),
-                            shape: BoxShape.circle,
-                          ),
-                          child: const Icon(
-                            Icons.analytics,
-                            color: Colors.white,
-                            size: 16,
-                          ),
-                        ),
-                      ),
+                      Positioned(top: 8, right: 8, child: Container(
+                        padding: const EdgeInsets.all(4),
+                        decoration: const BoxDecoration(color: Colors.black54, shape: BoxShape.circle),
+                        child: const Icon(Icons.analytics, color: Colors.white, size: 16),
+                      )),
                   ],
                 ),
               );
diff --git a/lib/ui/pages/board_list_page.dart b/lib/ui/pages/board_list_page.dart
@@ -0,0 +1,466 @@
+import 'dart:io';
+import 'package:flutter/material.dart';
+import '../../data/repos/board_repo.dart';
+import '../../data/repos/board_category_repo.dart';
+import '../../data/repos/board_image_repo.dart';
+import '../../data/models/board_model.dart';
+import '../../data/models/category_model.dart';
+import 'board_detail_page.dart';
+import 'image_analysis_page.dart';
+
+class BoardListPage extends StatefulWidget {
+  const BoardListPage({super.key});
+
+  @override
+  State<BoardListPage> createState() => _BoardListPageState();
+}
+
+class _BoardListPageState extends State<BoardListPage> {
+  final _categoryRepo = BoardCategoryRepository();
+  final _boardRepo = BoardRepository();
+  final _boardImageRepo = BoardImageRepository();
+
+  Map<BoardCategory, List<Board>> _categorizedBoards = {};
+  Map<int, List<String>> _boardPreviews = {};
+  bool _isLoading = true;
+
+  @override
+  void initState() {
+    super.initState();
+    _loadData();
+  }
+
+  Future<void> _loadData() async {
+    setState(() => _isLoading = true);
+    try {
+      final categoriesRaw = await _categoryRepo.getAllCategories();
+      final categories =
+          categoriesRaw.map((e) => BoardCategory.fromMap(e)).toList();
+
+      final Map<BoardCategory, List<Board>> newCategorizedBoards = {};
+      final Map<int, List<String>> newPreviews = {};
+
+      for (final category in categories) {
+        final boardsRaw = await _categoryRepo.getBoardsByCategory(category.id);
+        final boards = boardsRaw.map((e) => Board.fromMap(e)).toList();
+        newCategorizedBoards[category] = boards;
+
+        for (final board in boards) {
+          final imagesRaw = await _boardImageRepo.getImagesOfBoard(board.id);
+          final paths =
+              imagesRaw.map((e) => e['filePath'] as String).take(5).toList();
+          newPreviews[board.id] = paths;
+        }
+      }
+
+      if (mounted) {
+        setState(() {
+          _categorizedBoards = newCategorizedBoards;
+          _boardPreviews = newPreviews;
+          _isLoading = false;
+        });
+      }
+    } catch (e) {
+      debugPrint('Error loading boards: $e');
+      if (mounted) setState(() => _isLoading = false);
+    }
+  }
+
+  Future<void> _createCategoryDialog() async {
+    final nameController = TextEditingController();
+    if (!mounted) return;
+    await showDialog(
+      context: context,
+      builder:
+          (c) => AlertDialog(
+            title: const Text("Create Category"),
+            content: TextField(
+              controller: nameController,
+              decoration: const InputDecoration(hintText: "Category Name"),
+              autofocus: true,
+            ),
+            actions: [
+              TextButton(
+                onPressed: () => Navigator.pop(c),
+                child: const Text("Cancel"),
+              ),
+              ElevatedButton(
+                onPressed: () async {
+                  if (nameController.text.isNotEmpty) {
+                    await _categoryRepo.createCategory(nameController.text);
+                    if (c.mounted) Navigator.pop(c);
+                    _loadData();
+                  }
+                },
+                child: const Text("Create"),
+              ),
+            ],
+          ),
+    );
+  }
+
+  Future<void> _createBoardDialog({BoardCategory? preSelectedCategory}) async {
+    final nameController = TextEditingController();
+    final categories = _categorizedBoards.keys.toList();
+    BoardCategory? selectedCategory =
+        preSelectedCategory ??
+        (categories.isNotEmpty ? categories.first : null);
+    if (!mounted) return;
+    await showDialog(
+      context: context,
+      builder:
+          (c) => StatefulBuilder(
+            builder:
+                (context, setState) => AlertDialog(
+                  title: const Text("Create New Board"),
+                  content: Column(
+                    mainAxisSize: MainAxisSize.min,
+                    children: [
+                      TextField(
+                        controller: nameController,
+                        decoration: const InputDecoration(
+                          hintText: "Board Name",
+                        ),
+                        autofocus: true,
+                      ),
+                      const SizedBox(height: 16),
+                      if (categories.isNotEmpty)
+                        DropdownButton<BoardCategory>(
+                          value: selectedCategory,
+                          isExpanded: true,
+                          hint: const Text("Select Category"),
+                          items:
+                              categories
+                                  .map(
+                                    (cat) => DropdownMenuItem(
+                                      value: cat,
+                                      child: Text(cat.name),
+                                    ),
+                                  )
+                                  .toList(),
+                          onChanged:
+                              (val) => setState(() => selectedCategory = val),
+                        ),
+                    ],
+                  ),
+                  actions: [
+                    TextButton(
+                      onPressed: () => Navigator.pop(c),
+                      child: const Text("Cancel"),
+                    ),
+                    ElevatedButton(
+                      onPressed: () async {
+                        if (nameController.text.isNotEmpty &&
+                            selectedCategory != null) {
+                          await _boardRepo.createBoard(
+                            nameController.text,
+                            categoryId: selectedCategory!.id,
+                          );
+                          if (c.mounted) Navigator.pop(c);
+                          _loadData();
+                        }
+                      },
+                      child: const Text("Create"),
+                    ),
+                  ],
+                ),
+          ),
+    );
+  }
+
+  @override
+  Widget build(BuildContext context) {
+    return Scaffold(
+      backgroundColor: Colors.white,
+      appBar: AppBar(
+        backgroundColor: Colors.white,
+        elevation: 0,
+        title: const Text(
+          "Cookie point",
+          style: TextStyle(
+            color: Colors.black,
+            fontWeight: FontWeight.w600,
+            fontSize: 24,
+            fontFamily: 'GeneralSans',
+          ),
+        ),
+        actions: [
+          IconButton(
+            icon: const Icon(Icons.hexagon_outlined, color: Colors.black),
+            onPressed: () {
+              Navigator.push(
+                context,
+                MaterialPageRoute(builder: (_) => const ImageAnalysisPage()),
+              );
+            },
+          ),
+        ],
+      ),
+      body:
+          _isLoading
+              ? const Center(child: CircularProgressIndicator())
+              : Column(
+                children: [
+                  // Header Controls
+                  Padding(
+                    padding: const EdgeInsets.symmetric(
+                      horizontal: 16.0,
+                      vertical: 12.0,
+                    ),
+                    child: Row(
+                      children: [
+                        Container(
+                          padding: const EdgeInsets.symmetric(
+                            horizontal: 16,
+                            vertical: 8,
+                          ),
+                          decoration: BoxDecoration(
+                            color: Colors.grey[200],
+                            borderRadius: BorderRadius.circular(8),
+                          ),
+                          child: Row(
+                            children: const [
+                              Text(
+                                "Global",
+                                style: TextStyle(
+                                  fontWeight: FontWeight.w500,
+                                  fontFamily: 'GeneralSans',
+                                  color: Colors.black87,
+                                ),
+                              ),
+                              SizedBox(width: 8),
+                              Icon(
+                                Icons.keyboard_arrow_down,
+                                size: 20,
+                                color: Colors.black87,
+                              ),
+                            ],
+                          ),
+                        ),
+                        const Spacer(),
+                        const Icon(
+                          Icons.splitscreen_outlined,
+                          size: 24,
+                          color: Colors.black87,
+                        ),
+                        const SizedBox(width: 12),
+                        const Icon(
+                          Icons.grid_view,
+                          size: 24,
+                          color: Colors.black87,
+                        ),
+                      ],
+                    ),
+                  ),
+
+                  // Main Content
+                  Expanded(
+                    child:
+                        _categorizedBoards.isEmpty
+                            ? Center(
+                              child: ElevatedButton(
+                                onPressed: _createCategoryDialog,
+                                child: const Text("Create Your First Category"),
+                              ),
+                            )
+                            : ListView.builder(
+                              padding: const EdgeInsets.only(bottom: 40),
+                              itemCount: _categorizedBoards.length,
+                              itemBuilder: (context, index) {
+                                final category = _categorizedBoards.keys
+                                    .elementAt(index);
+                                final boards = _categorizedBoards[category]!;
+
+                                return Column(
+                                  crossAxisAlignment: CrossAxisAlignment.start,
+                                  children: [
+                                    // Category Header
+                                    Padding(
+                                      padding: const EdgeInsets.fromLTRB(
+                                        20,
+                                        0,
+                                        20,
+                                        8,
+                                      ),
+                                      child: Row(
+                                        children: [
+                                          Expanded(
+                                            child: Text(
+                                              category.name,
+                                              style: const TextStyle(
+                                                fontSize: 22,
+                                                fontWeight: FontWeight.w500,
+                                                color: Color.fromARGB(
+                                                  255,
+                                                  38,
+                                                  56,
+                                                  255,
+                                                ),
+                                                fontFamily: 'GeneralSans',
+                                              ),
+                                            ),
+                                          ),
+                                        ],
+                                      ),
+                                    ),
+
+                                    if (boards.isEmpty)
+                                      Padding(
+                                        padding: const EdgeInsets.symmetric(
+                                          horizontal: 20,
+                                        ),
+                                        child: GestureDetector(
+                                          onTap:
+                                              () => _createBoardDialog(
+                                                preSelectedCategory: category,
+                                              ),
+                                          child: const Text(
+                                            "+ Add Board",
+                                            style: TextStyle(
+                                              color: Colors.blue,
+                                              fontWeight: FontWeight.w500,
+                                            ),
+                                          ),
+                                        ),
+                                      )
+                                    else
+                                      ...boards.map(
+                                        (board) => _buildBoardPreviewCard(
+                                          board,
+                                          category.name,
+                                        ),
+                                      ),
+
+                                    const SizedBox(height: 12),
+                                  ],
+                                );
+                              },
+                            ),
+                  ),
+                ],
+              ),
+      floatingActionButton: FloatingActionButton(
+        onPressed: _createCategoryDialog,
+        child: const Icon(Icons.add),
+      ),
+    );
+  }
+
+  Widget _buildBoardPreviewCard(Board board, String categoryName) {
+    final previewImages = _boardPreviews[board.id] ?? [];
+
+    return GestureDetector(
+      onTap: () {
+        Navigator.push(
+          context,
+          MaterialPageRoute(builder: (_) => BoardDetailPage(board: board)),
+        ).then((_) => _loadData());
+      },
+      child: Container(
+        margin: const EdgeInsets.symmetric(horizontal: 16, vertical: 6),
+        // Clip behavior for the MAIN card corners
+        clipBehavior: Clip.antiAlias,
+        decoration: BoxDecoration(
+          color: Colors.white,
+          borderRadius: BorderRadius.circular(24),
+          border: Border.all(color: Colors.grey.shade200),
+        ),
+        child: Column(
+          crossAxisAlignment: CrossAxisAlignment.start,
+          children: [
+            // Header inside (with padding)
+            Padding(
+              padding: const EdgeInsets.all(16.0),
+              child: Row(
+                children: [
+                  Text(
+                    board.name,
+                    style: const TextStyle(
+                      fontSize: 20,
+                      fontWeight: FontWeight.w500,
+                      fontFamily: 'GeneralSans',
+                    ),
+                  ),
+                  const Spacer(),
+                  GestureDetector(
+                    onTap: () {
+                      Navigator.push(
+                        context,
+                        MaterialPageRoute(
+                          builder: (_) => BoardDetailPage(board: board),
+                        ),
+                      ).then((_) => _loadData());
+                    },
+                    child: const Icon(Icons.add, color: Colors.black, size: 24),
+                  ),
+                  const SizedBox(width: 8),
+                  const Icon(
+                    Icons.chevron_right,
+                    color: Colors.black,
+                    size: 24,
+                  ),
+                ],
+              ),
+            ),
+
+            // Images List
+            SizedBox(
+              height: 140,
+              child: ListView.separated(
+                padding: EdgeInsets.zero,
+                scrollDirection: Axis.horizontal,
+                itemCount: previewImages.isEmpty ? 1 : previewImages.length,
+                // FIXED: Changed VerticalDivider to a Container to ensure it renders visible
+                separatorBuilder:
+                    (_, __) => Container(
+                      width: 1,
+                      color: const Color.fromARGB(
+                        255,
+                        169,
+                        169,
+                        169,
+                      ), // Visible grey divider
+                    ),
+                itemBuilder: (context, index) {
+                  if (previewImages.isEmpty) {
+                    return Container(
+                      width: 100,
+                      color: Colors.grey[50],
+                      child: const Center(
+                        child: Text(
+                          "Empty",
+                          style: TextStyle(color: Colors.grey),
+                        ),
+                      ),
+                    );
+                  }
+
+                  final imagePath = previewImages[index];
+                  return SizedBox(
+                    width: 110,
+                    // ADDED: ClipRRect for "very small image radius"
+                    child: ClipRRect(
+                      borderRadius: BorderRadius.circular(8.0), // Small radius
+                      child: Image.file(
+                        File(imagePath),
+                        fit: BoxFit.cover,
+                        errorBuilder:
+                            (c, e, s) => Container(
+                              color: Colors.grey[100],
+                              child: const Icon(
+                                Icons.broken_image,
+                                color: Colors.grey,
+                              ),
+                            ),
+                      ),
+                    ),
+                  );
+                },
+              ),
+            ),
+          ],
+        ),
+      ),
+    );
+  }
+}
diff --git a/lib/ui/pages/board_page.dart b/lib/ui/pages/board_page.dart
@@ -1,5 +1,3 @@
-// lib/ui/pages/board_page.dart
-
 import 'dart:io';
 import 'package:flutter/material.dart';
 
diff --git a/lib/ui/pages/home_page.dart b/lib/ui/pages/home_page.dart
@@ -1,171 +1,12 @@
-// lib/ui/pages/home_page.dart
-
 import 'package:flutter/material.dart';
-import 'package:adobe/data/repos/board_repo.dart';
-import 'package:adobe/data/models/board_model.dart';
-import 'package:adobe/ui/pages/board_detail_page.dart';
-import 'package:adobe/ui/pages/image_analysis_page.dart';
+import 'package:adobe/ui/pages/board_list_page.dart';
 
-class HomePage extends StatefulWidget {
+class HomePage extends StatelessWidget {
   const HomePage({super.key});
 
   @override
-  State<HomePage> createState() => _HomePageState();
-}
-
-class _HomePageState extends State<HomePage> {
-  final _boardRepo = BoardRepository();
-  late Future<List<Board>> _boardsFuture;
-
-  @override
-  void initState() {
-    super.initState();
-    _refreshBoards();
-  }
-
-  void _refreshBoards() {
-    setState(() {
-      _boardsFuture = _boardRepo.getBoards().then((data) {
-        return data.map((e) => Board.fromMap(e)).toList();
-      });
-    });
-  }
-
-  @override
   Widget build(BuildContext context) {
-    return Scaffold(
-      appBar: AppBar(
-        title: const Text("My Boards"),
-        centerTitle: true,
-        actions: [
-          IconButton(
-            icon: const Icon(Icons.analytics),
-            onPressed: () {
-              Navigator.push(
-                context,
-                MaterialPageRoute(builder: (_) => const ImageAnalysisPage()),
-              );
-            },
-            tooltip: 'Image Analysis',
-          ),
-        ],
-      ),
-      floatingActionButton: FloatingActionButton(
-        onPressed: _showCreateBoardDialog,
-        child: const Icon(Icons.add),
-      ),
-      // Pull to Refresh allows you to update the list after sharing an image
-      body: RefreshIndicator(
-        onRefresh: () async => _refreshBoards(),
-        child: FutureBuilder<List<Board>>(
-          future: _boardsFuture,
-          builder: (context, snapshot) {
-            if (snapshot.connectionState == ConnectionState.waiting) {
-              return const Center(child: CircularProgressIndicator());
-            }
-
-            if (!snapshot.hasData || snapshot.data!.isEmpty) {
-              return ListView(
-                children: const [
-                  SizedBox(height: 200),
-                  Center(child: Text("No boards yet. Create one!")),
-                ],
-              );
-            }
-
-            final boards = snapshot.data!;
-
-            return GridView.builder(
-              padding: const EdgeInsets.all(12),
-              itemCount: boards.length,
-              gridDelegate: const SliverGridDelegateWithFixedCrossAxisCount(
-                crossAxisCount: 2,
-                crossAxisSpacing: 12,
-                mainAxisSpacing: 12,
-                childAspectRatio: 1.2, // Rectangular cards
-              ),
-              itemBuilder: (context, index) {
-                final board = boards[index];
-                return _buildBoardCard(board);
-              },
-            );
-          },
-        ),
-      ),
-    );
-  }
-
-  Widget _buildBoardCard(Board board) {
-    return GestureDetector(
-      onTap: () {
-        // Navigate to the details of this board
-        Navigator.push(
-          context,
-          MaterialPageRoute(builder: (_) => BoardDetailPage(board: board)),
-        ).then((_) => _refreshBoards()); // Refresh when coming back
-      },
-      child: Container(
-        decoration: BoxDecoration(
-          color: Colors.grey[200],
-          borderRadius: BorderRadius.circular(16),
-          boxShadow: [
-            BoxShadow(
-              color: Colors.black.withValues(alpha: 0.05),
-              blurRadius: 5,
-              offset: const Offset(0, 4),
-            ),
-          ],
-        ),
-        child: Column(
-          mainAxisAlignment: MainAxisAlignment.center,
-          children: [
-            const Icon(Icons.dashboard, size: 40, color: Colors.grey),
-            const SizedBox(height: 8),
-            Text(
-              board.name,
-              style: const TextStyle(fontSize: 18, fontWeight: FontWeight.bold),
-              textAlign: TextAlign.center,
-            ),
-            const SizedBox(height: 4),
-            const Text(
-              "Tap to view",
-              style: TextStyle(fontSize: 12, color: Colors.grey),
-            ),
-          ],
-        ),
-      ),
-    );
-  }
-
-  void _showCreateBoardDialog() {
-    final controller = TextEditingController();
-    showDialog(
-      context: context,
-      builder:
-          (c) => AlertDialog(
-            title: const Text("New Board"),
-            content: TextField(
-              controller: controller,
-              decoration: const InputDecoration(hintText: "Board Name"),
-              autofocus: true,
-            ),
-            actions: [
-              TextButton(
-                onPressed: () => Navigator.pop(c),
-                child: const Text("Cancel"),
-              ),
-              ElevatedButton(
-                onPressed: () async {
-                  if (controller.text.isNotEmpty) {
-                    await _boardRepo.createBoard(controller.text);
-                    if (c.mounted) Navigator.pop(c);
-                    _refreshBoards();
-                  }
-                },
-                child: const Text("Create"),
-              ),
-            ],
-          ),
-    );
+    // Directly return the BoardListPage, which has its own Scaffold and AppBar
+    return const BoardListPage();
   }
-}
+}
+\ No newline at end of file
diff --git a/lib/ui/pages/image_analysis_page.dart b/lib/ui/pages/image_analysis_page.dart
@@ -1,8 +1,11 @@
 import 'dart:io';
+import 'dart:convert';
 import 'package:flutter/material.dart';
 import 'package:image_picker/image_picker.dart';
 import 'package:path_provider/path_provider.dart';
 import 'package:adobe/services/image_analyzer_service.dart';
+import 'package:adobe/data/models/image_model.dart';
+import '../widgets/analysis_dialog.dart';
 
 class ImageAnalysisPage extends StatefulWidget {
   const ImageAnalysisPage({super.key});
@@ -13,79 +16,53 @@ class ImageAnalysisPage extends StatefulWidget {
 
 class _ImageAnalysisPageState extends State<ImageAnalysisPage> {
   File? _selectedImage;
-  Map<String, dynamic>? _analysisResult;
+  Map<String, dynamic>? _fullResult;
   bool _isAnalyzing = false;
   String? _errorMessage;
 
-  Future<void> _pickImage() async {
+  Future<void> _pickImage(ImageSource source) async {
     try {
       final ImagePicker picker = ImagePicker();
-      final XFile? image = await picker.pickImage(source: ImageSource.gallery);
-
-      if (image != null) {
-        setState(() {
-          _selectedImage = File(image.path);
-          _analysisResult = null;
-          _errorMessage = null;
-        });
-      }
-    } catch (e) {
-      setState(() {
-        _errorMessage = 'Error picking image: $e';
-      });
-    }
-  }
-
-  Future<void> _takePhoto() async {
-    try {
-      final ImagePicker picker = ImagePicker();
-      final XFile? image = await picker.pickImage(source: ImageSource.camera);
-
+      final XFile? image = await picker.pickImage(source: source);
       if (image != null) {
         setState(() {
           _selectedImage = File(image.path);
-          _analysisResult = null;
+          _fullResult = null;
           _errorMessage = null;
         });
       }
     } catch (e) {
-      setState(() {
-        _errorMessage = 'Error taking photo: $e';
-      });
+      setState(() => _errorMessage = 'Error: $e');
     }
   }
 
-  Future<void> _analyzeImage() async {
+  Future<void> _runAnalysis() async {
     if (_selectedImage == null) return;
 
     setState(() {
       _isAnalyzing = true;
       _errorMessage = null;
-      _analysisResult = null;
     });
 
     try {
-      // Copy image to a location accessible by the Python script
       final appDir = await getApplicationDocumentsDirectory();
       final fileName = _selectedImage!.path.split('/').last;
       final targetPath = '${appDir.path}/$fileName';
-
       await _selectedImage!.copy(targetPath);
 
-      final result = await ImageAnalyzerService.analyzeImage(targetPath);
+      // Use the centralized master runner
+      final result = await ImageAnalyzerService.analyzeFullSuite(targetPath);
 
-      setState(() {
-        _isAnalyzing = false;
-        if (result != null && result['success'] == true) {
-          _analysisResult = result;
-        } else {
-          _errorMessage = result?['error'] ?? 'Failed to analyze image';
-        }
-      });
+      if (mounted) {
+        setState(() {
+          _isAnalyzing = false;
+          _fullResult = result;
+        });
+      }
     } catch (e) {
       setState(() {
         _isAnalyzing = false;
-        _errorMessage = 'Error analyzing image: $e';
+        _errorMessage = 'Analysis Error: $e';
       });
     }
   }
@@ -93,254 +70,78 @@ class _ImageAnalysisPageState extends State<ImageAnalysisPage> {
   @override
   Widget build(BuildContext context) {
     return Scaffold(
-      appBar: AppBar(
-        title: const Text('Image Composition Analyzer'),
-        centerTitle: true,
-      ),
+      appBar: AppBar(title: const Text('Image Analysis')),
       body: SingleChildScrollView(
         padding: const EdgeInsets.all(16),
         child: Column(
           crossAxisAlignment: CrossAxisAlignment.stretch,
           children: [
-            // Image Selection Section
-            if (_selectedImage == null)
-              Container(
-                height: 200,
-                decoration: BoxDecoration(
-                  color: Colors.grey[200],
-                  borderRadius: BorderRadius.circular(12),
-                  border: Border.all(color: Colors.grey[300]!),
-                ),
-                child: Center(
-                  child: Column(
-                    mainAxisAlignment: MainAxisAlignment.center,
-                    children: [
-                      Icon(Icons.image, size: 64, color: Colors.grey[400]),
-                      const SizedBox(height: 16),
-                      Text(
-                        'No image selected',
-                        style: TextStyle(color: Colors.grey[600]),
-                      ),
-                    ],
-                  ),
-                ),
-              )
-            else
-              ClipRRect(
+            Container(
+              height: 250,
+              decoration: BoxDecoration(
+                color: Colors.grey[200],
                 borderRadius: BorderRadius.circular(12),
-                child: Image.file(
-                  _selectedImage!,
-                  height: 300,
-                  fit: BoxFit.cover,
-                ),
+                image: _selectedImage != null 
+                  ? DecorationImage(image: FileImage(_selectedImage!), fit: BoxFit.cover)
+                  : null
               ),
-
-            const SizedBox(height: 16),
-
-            // Action Buttons
-            Row(
-              children: [
-                Expanded(
-                  child: OutlinedButton.icon(
-                    onPressed: _pickImage,
-                    icon: const Icon(Icons.photo_library),
-                    label: const Text('Gallery'),
-                  ),
-                ),
-                const SizedBox(width: 12),
-                Expanded(
-                  child: OutlinedButton.icon(
-                    onPressed: _takePhoto,
-                    icon: const Icon(Icons.camera_alt),
-                    label: const Text('Camera'),
-                  ),
-                ),
-              ],
+              child: _selectedImage == null 
+                ? const Center(child: Icon(Icons.image, size: 50, color: Colors.grey))
+                : null,
             ),
-
             const SizedBox(height: 16),
-
-            // Analyze Button
-            ElevatedButton(
-              onPressed:
-                  _selectedImage != null && !_isAnalyzing
-                      ? _analyzeImage
-                      : null,
-              style: ElevatedButton.styleFrom(
-                padding: const EdgeInsets.symmetric(vertical: 16),
+            
+            Row(children: [
+              Expanded(child: OutlinedButton.icon(
+                onPressed: () => _pickImage(ImageSource.gallery), 
+                icon: const Icon(Icons.photo), label: const Text("Gallery"))
               ),
-              child:
-                  _isAnalyzing
-                      ? const Row(
-                        mainAxisAlignment: MainAxisAlignment.center,
-                        children: [
-                          SizedBox(
-                            width: 20,
-                            height: 20,
-                            child: CircularProgressIndicator(strokeWidth: 2),
-                          ),
-                          SizedBox(width: 12),
-                          Text('Analyzing...'),
-                        ],
-                      )
-                      : const Text('Analyze Image'),
+              const SizedBox(width: 10),
+              Expanded(child: OutlinedButton.icon(
+                onPressed: () => _pickImage(ImageSource.camera), 
+                icon: const Icon(Icons.camera_alt), label: const Text("Camera"))
+              ),
+            ]),
+            const SizedBox(height: 16),
+            
+            ElevatedButton(
+              onPressed: (_selectedImage != null && !_isAnalyzing) ? _runAnalysis : null,
+              style: ElevatedButton.styleFrom(padding: const EdgeInsets.all(16)),
+              child: _isAnalyzing 
+                ? const SizedBox(height: 20, width: 20, child: CircularProgressIndicator(strokeWidth: 2))
+                : const Text("Analyze Image"),
             ),
-
-            // Error Message
+            
             if (_errorMessage != null)
               Padding(
-                padding: const EdgeInsets.only(top: 16),
-                child: Container(
-                  padding: const EdgeInsets.all(12),
-                  decoration: BoxDecoration(
-                    color: Colors.red[50],
-                    borderRadius: BorderRadius.circular(8),
-                    border: Border.all(color: Colors.red[200]!),
-                  ),
-                  child: Row(
-                    children: [
-                      Icon(Icons.error_outline, color: Colors.red[700]),
-                      const SizedBox(width: 8),
-                      Expanded(
-                        child: Text(
-                          _errorMessage!,
-                          style: TextStyle(color: Colors.red[700]),
-                        ),
-                      ),
-                    ],
-                  ),
-                ),
+                padding: const EdgeInsets.only(top:16),
+                child: Text(_errorMessage!, style: const TextStyle(color: Colors.red)),
               ),
 
-            // Analysis Results
-            if (_analysisResult != null) ...[
-              const SizedBox(height: 24),
-              const Divider(),
-              const SizedBox(height: 16),
-              Text(
-                'Analysis Results',
-                style: Theme.of(context).textTheme.headlineSmall?.copyWith(
-                  fontWeight: FontWeight.bold,
-                ),
-              ),
-              const SizedBox(height: 16),
-
-              // Top 5 Features
-              if (_analysisResult!['top5'] != null) ...[
-                Text(
-                  '🏆 Top 5 Features',
-                  style: Theme.of(context).textTheme.titleMedium?.copyWith(
-                    fontWeight: FontWeight.bold,
-                  ),
-                ),
-                const SizedBox(height: 12),
-                ...(_analysisResult!['top5'] as List).map((feature) {
-                  return _buildFeatureCard(
-                    feature['name'] as String,
-                    feature['score'] as double,
+            const SizedBox(height: 24),
+
+            // Re-use the AnalysisDialog logic by mocking an ImageModel
+            if (_fullResult != null)
+              // We wrap the result in a dummy ImageModel to reuse the visualization widget
+              LayoutBuilder(
+                builder: (context, constraints) {
+                  // Mocking the data format stored in DB
+                  final mockImage = ImageModel(
+                    id: 'temp', 
+                    filePath: _selectedImage!.path, 
+                    analysisData: json.encode(_fullResult)
                   );
-                }),
-                const SizedBox(height: 24),
-              ],
-
-              // All Scores
-              Text(
-                'All Scores',
-                style: Theme.of(
-                  context,
-                ).textTheme.titleMedium?.copyWith(fontWeight: FontWeight.bold),
-              ),
-              const SizedBox(height: 12),
-              if (_analysisResult!['scores'] != null)
-                ...(_analysisResult!['scores'] as Map<String, dynamic>).entries
-                    .map((entry) {
-                      return _buildScoreCard(entry.key, entry.value as double);
-                    }),
-            ],
-          ],
-        ),
-      ),
-    );
-  }
-
-  Widget _buildFeatureCard(String name, double score) {
-    return Card(
-      margin: const EdgeInsets.only(bottom: 8),
-      child: Padding(
-        padding: const EdgeInsets.all(12),
-        child: Row(
-          children: [
-            Expanded(
-              child: Text(
-                name,
-                style: const TextStyle(
-                  fontSize: 16,
-                  fontWeight: FontWeight.w500,
-                ),
-              ),
-            ),
-            Text(
-              '${(score * 100).toStringAsFixed(1)}%',
-              style: TextStyle(
-                fontSize: 16,
-                fontWeight: FontWeight.bold,
-                color: _getScoreColor(score),
-              ),
-            ),
-            const SizedBox(width: 8),
-            SizedBox(
-              width: 100,
-              child: LinearProgressIndicator(
-                value: score,
-                backgroundColor: Colors.grey[200],
-                valueColor: AlwaysStoppedAnimation<Color>(
-                  _getScoreColor(score),
-                ),
-              ),
-            ),
-          ],
-        ),
-      ),
-    );
-  }
-
-  Widget _buildScoreCard(String name, double score) {
-    return Card(
-      margin: const EdgeInsets.only(bottom: 8),
-      child: Padding(
-        padding: const EdgeInsets.all(12),
-        child: Row(
-          children: [
-            Expanded(child: Text(name, style: const TextStyle(fontSize: 14))),
-            Text(
-              score.toStringAsFixed(3),
-              style: TextStyle(
-                fontSize: 14,
-                fontWeight: FontWeight.w500,
-                color: _getScoreColor(score),
-              ),
-            ),
-            const SizedBox(width: 8),
-            SizedBox(
-              width: 80,
-              child: LinearProgressIndicator(
-                value: score,
-                backgroundColor: Colors.grey[200],
-                valueColor: AlwaysStoppedAnimation<Color>(
-                  _getScoreColor(score),
-                ),
-              ),
-            ),
+                  
+                  // Display the content of AnalysisDialog inline
+                  return SizedBox(
+                    height: 600,
+                    child: AnalysisDialog(image: mockImage),
+                  );
+                },
+              )
           ],
         ),
       ),
     );
   }
-
-  Color _getScoreColor(double score) {
-    if (score >= 0.7) return Colors.green;
-    if (score >= 0.4) return Colors.orange;
-    return Colors.red;
-  }
 }
-
diff --git a/lib/ui/pages/image_page.dart b/lib/ui/pages/image_page.dart
diff --git a/lib/ui/pages/image_picker_page.dart b/lib/ui/pages/image_picker_page.dart
@@ -1,5 +1,3 @@
-// lib/ui/pages/image_picker_page.dart
-
 import 'dart:io';
 import 'package:flutter/material.dart';
 import 'package:image_picker/image_picker.dart';
diff --git a/lib/ui/pages/share_handler_page.dart b/lib/ui/pages/share_handler_page.dart
@@ -1,6 +1,5 @@
-// lib/ui/pages/share_handler_page.dart
-
 import 'dart:io';
+import 'dart:convert';
 import 'package:flutter/material.dart';
 import 'package:path_provider/path_provider.dart';
 import 'package:uuid/uuid.dart';
@@ -9,11 +8,10 @@ import 'package:adobe/services/instagram_download_service.dart';
 import 'package:adobe/data/repos/board_repo.dart';
 import 'package:adobe/data/repos/board_image_repo.dart';
 import 'package:adobe/data/repos/image_repo.dart';
-import 'package:adobe/services/image_analyzer_service.dart';
-import 'dart:convert';
+import 'package:adobe/services/image_analyzer_service.dart'; // Master Runner
 
 class ShareHandlerPage extends StatefulWidget {
-  final String sharedText; // The URL passed from Android
+  final String sharedText; 
 
   const ShareHandlerPage({super.key, required this.sharedText});
 
@@ -42,14 +40,10 @@ class _ShareHandlerPageState extends State<ShareHandlerPage> {
   }
 
   void _startProcess() async {
-    // 1. Start loading boards immediately
     _boards = await _boardRepo.getBoards();
-
-    // 2. Check if it's a file path (direct image share) or URL
     final sharedPath = widget.sharedText.trim();
 
     if (File(sharedPath).existsSync()) {
-      // Direct image file - copy it to our images directory
       try {
         final id = await _handleDirectImage(sharedPath);
         if (mounted) {
@@ -63,82 +57,47 @@ class _ShareHandlerPageState extends State<ShareHandlerPage> {
           });
         }
       } catch (e) {
-        if (mounted) {
-          setState(() {
-            _hasError = true;
-            _errorMessage = "Error: $e";
-            _isDownloading = false;
-          });
-        }
+        if (mounted) setState(() { _hasError = true; _errorMessage = "$e"; _isDownloading = false; });
       }
     } else {
-      // It's a URL - check if it's Instagram
+      // URL Handling
       final urlRegExp = RegExp(r'(https?://\S+)');
       final match = urlRegExp.firstMatch(sharedPath);
 
       if (match != null) {
         final url = match.group(0)!;
-
-        // Check if it's an Instagram URL
-        if (url.contains('instagram.com')) {
-          try {
+        try {
+          if (url.contains('instagram.com')) {
             final ids = await _instagramService.downloadInstagramImage(url);
-            if (mounted) {
-              setState(() {
-                if (ids != null) _downloadedImageIds = ids;
-                _isDownloading = false;
-                if (ids == null || ids.isEmpty) {
-                  _hasError = true;
-                  _errorMessage = "Failed to download from Instagram";
-                }
-              });
-            }
-          } catch (e) {
-            if (mounted) {
-              setState(() {
-                _hasError = true;
-                _errorMessage = "Error: $e";
-                _isDownloading = false;
-              });
-            }
-          }
-        } else {
-          // Regular URL - use existing download service
-          final id = await _downloadService.downloadAndSaveImage(url);
-          if (mounted) {
-            setState(() {
-              if (id != null) _downloadedImageIds = [id]; // Wrap single ID in list
-              _isDownloading = false;
-              if (id == null) {
-                _hasError = true;
-                _errorMessage = "Failed to download image";
-              }
+            if (mounted) setState(() {
+               _downloadedImageIds = ids ?? [];
+               _isDownloading = false;
+               if (_downloadedImageIds.isEmpty) { _hasError = true; _errorMessage = "Insta download failed"; }
+            });
+          } else {
+            final id = await _downloadService.downloadAndSaveImage(url);
+            if (mounted) setState(() {
+               if (id != null) _downloadedImageIds = [id];
+               _isDownloading = false;
+               if (id == null) { _hasError = true; _errorMessage = "Download failed"; }
             });
           }
+        } catch (e) {
+          if (mounted) setState(() { _hasError = true; _errorMessage = "$e"; _isDownloading = false; });
         }
       } else {
-        if (mounted) {
-          setState(() {
-            _hasError = true;
-            _errorMessage = "Invalid URL or file path";
-            _isDownloading = false;
-          });
-        }
+        if (mounted) setState(() { _hasError = true; _errorMessage = "Invalid URL"; _isDownloading = false; });
       }
     }
   }
 
   Future<String?> _handleDirectImage(String filePath) async {
-    // Import needed packages
     final file = File(filePath);
     if (!await file.exists()) return null;
 
-    // Copy to images directory
     final dir = await getApplicationDocumentsDirectory();
     final imagesDir = Directory('${dir.path}/images');
-    if (!await imagesDir.exists()) {
-      await imagesDir.create(recursive: true);
-    }
+    if (!await imagesDir.exists()) await imagesDir.create(recursive: true);
 
     final extension = filePath.split('.').last;
     final imageId = _uuid.v4();
@@ -146,7 +105,6 @@ class _ShareHandlerPageState extends State<ShareHandlerPage> {
 
     await file.copy(targetPath);
     await _imageRepo.insertImage(imageId, targetPath);
-
     return imageId;
   }
 
@@ -160,49 +118,36 @@ class _ShareHandlerPageState extends State<ShareHandlerPage> {
     final images = await _imageRepo.getAllImages();
     
     for (final id in _downloadedImageIds) {
-      final imageData = images.firstWhere(
-        (img) => img['id'] == id,
-        orElse: () => <String, dynamic>{},
-      );
-
+      final imageData = images.firstWhere((img) => img['id'] == id, orElse: () => <String, dynamic>{});
       if (imageData.isNotEmpty && imageData['filePath'] != null) {
-        _analyzeImageInBackground(
-          id,
-          imageData['filePath'] as String,
-        );
+        // Trigger Background Analysis
+        _analyzeImageInBackground(id, imageData['filePath'] as String);
       }
     }
 
     if (!mounted) return;
-
     ScaffoldMessenger.of(context).showSnackBar(
-      SnackBar(
-        content: Text("Saved ${_downloadedImageIds.length} image(s) to board! Analysis running."),
-      ),
+      SnackBar(content: Text("Saved ${_downloadedImageIds.length} image(s)! Analysis running.")),
     );
-
-    // Close the app or go back to main screen
     Navigator.popUntil(context, (route) => route.isFirst);
   }
 
-  Future<void> _analyzeImageInBackground(
-    String imageId,
-    String imagePath,
-  ) async {
+  Future<void> _analyzeImageInBackground(String imageId, String imagePath) async {
     try {
-      final result = await ImageAnalyzerService.analyzeImage(imagePath);
-      if (result != null && result['success'] == true) {
+      // Changed to use Master Runner
+      final result = await ImageAnalyzerService.analyzeFullSuite(imagePath);
+      if (result['success'] == true) {
         await _imageRepo.updateImageAnalysis(imageId, json.encode(result));
       }
     } catch (e) {
-      debugPrint('Error analyzing image in background: $e');
+      debugPrint('Background Analysis Error: $e');
     }
   }
 
   @override
   Widget build(BuildContext context) {
     return Scaffold(
-      appBar: AppBar(title: Text("Save to Board")),
+      appBar: AppBar(title: const Text("Save to Board")),
       body: _buildBody(),
     );
   }
@@ -214,85 +159,31 @@ class _ShareHandlerPageState extends State<ShareHandlerPage> {
           mainAxisAlignment: MainAxisAlignment.center,
           children: [
             const Icon(Icons.error, color: Colors.red, size: 48),
-            const SizedBox(height: 16),
-            Text(
-              _errorMessage ?? "Could not process image",
-              style: const TextStyle(fontSize: 16),
-              textAlign: TextAlign.center,
-            ),
-            const SizedBox(height: 16),
-            ElevatedButton(
-              onPressed: () => Navigator.pop(context),
-              child: const Text("Go Back"),
-            ),
+            Text(_errorMessage ?? "Error"),
+            ElevatedButton(onPressed: () => Navigator.pop(context), child: const Text("Back"))
           ],
         ),
       );
     }
-
-    // While downloading, show loader but ALSO show boards (disabled or overlay)
-    // Or just show loader as per your request
-    if (_isDownloading) {
-      return Center(
-        child: Column(
-          mainAxisAlignment: MainAxisAlignment.center,
-          children: [
-            CircularProgressIndicator(),
-            SizedBox(height: 16),
-            Text("Downloading image(s)..."),
-          ],
-        ),
-      );
-    }
-
-    // Once downloaded, allow selection
-    return Column(
-      children: [
-        Padding(
-          padding: const EdgeInsets.all(16.0),
-          child: Column(
-            children: [
-              Text(
-                "Select a board",
-                style: TextStyle(fontSize: 18, fontWeight: FontWeight.bold),
-              ),
-              if (_downloadedImageIds.length > 1)
-                Padding(
-                  padding: const EdgeInsets.only(top: 8.0),
-                  child: Text(
-                    "(${_downloadedImageIds.length} images found)",
-                    style: TextStyle(color: Colors.grey[600]),
-                  ),
-                ),
-            ],
-          ),
-        ),
-        Expanded(
-          child: ListView.builder(
-            itemCount: _boards.length + 1, // +1 for "Create Board"
-            itemBuilder: (context, index) {
-              // "Create New Board" Option
-              if (index == 0) {
-                return ListTile(
-                  leading: Icon(Icons.add_box, color: Colors.red),
-                  title: Text("Create New Board"),
-                  onTap: () {
-                    // Call your create board dialog logic here
-                    _showCreateBoardDialog();
-                  },
-                );
-              }
-
-              final board = _boards[index - 1];
-              return ListTile(
-                leading: Icon(Icons.dashboard),
-                title: Text(board['name']),
-                onTap: () => _saveToBoard(board['id']),
-              );
-            },
-          ),
-        ),
-      ],
+    if (_isDownloading) return const Center(child: CircularProgressIndicator());
+
+    return ListView.builder(
+      itemCount: _boards.length + 2, 
+      itemBuilder: (context, index) {
+        if (index == 0) return const Padding(padding: EdgeInsets.all(16), child: Text("Select a Board"));
+        if (index == 1) return ListTile(
+          leading: const Icon(Icons.add_box, color: Colors.red),
+          title: const Text("Create New Board"),
+          onTap: _showCreateBoardDialog,
+        );
+        
+        final board = _boards[index - 2];
+        return ListTile(
+          leading: const Icon(Icons.dashboard),
+          title: Text(board['name']),
+          onTap: () => _saveToBoard(board['id']),
+        );
+      },
     );
   }
 
@@ -300,33 +191,24 @@ class _ShareHandlerPageState extends State<ShareHandlerPage> {
     final controller = TextEditingController();
     showDialog(
       context: context,
-      builder:
-          (c) => AlertDialog(
-            title: Text("New Board"),
-            content: TextField(
-              controller: controller,
-              decoration: InputDecoration(hintText: "Name"),
-            ),
-            actions: [
-              TextButton(
-                onPressed: () => Navigator.pop(c),
-                child: Text("Cancel"),
-              ),
-              ElevatedButton(
-                onPressed: () async {
-                  if (controller.text.isNotEmpty) {
-                    // Create board
-                    final newId = await _boardRepo.createBoard(controller.text);
-                    if (!c.mounted) return;
-                    Navigator.pop(c); // Close dialog
-                    // Save image to new board
-                    _saveToBoard(newId);
-                  }
-                },
-                child: Text("Create"),
-              ),
-            ],
+      builder: (c) => AlertDialog(
+        title: const Text("New Board"),
+        content: TextField(controller: controller, decoration: const InputDecoration(hintText: "Name")),
+        actions: [
+          TextButton(onPressed: () => Navigator.pop(c), child: const Text("Cancel")),
+          ElevatedButton(
+            onPressed: () async {
+              if (controller.text.isNotEmpty) {
+                final newId = await _boardRepo.createBoard(controller.text);
+                if (!c.mounted) return;
+                Navigator.pop(c);
+                _saveToBoard(newId);
+              }
+            },
+            child: const Text("Create"),
           ),
+        ],
+      ),
     );
   }
 }
diff --git a/lib/ui/widgets/analysis_dialog.dart b/lib/ui/widgets/analysis_dialog.dart
@@ -0,0 +1,151 @@
+import 'dart:convert';
+import 'package:flutter/material.dart';
+import '../../data/models/image_model.dart';
+
+class AnalysisDialog extends StatelessWidget {
+  final ImageModel image;
+
+  const AnalysisDialog({super.key, required this.image});
+
+  @override
+  Widget build(BuildContext context) {
+    if (image.analysisData == null) {
+      return const AlertDialog(content: Text("No analysis data available."));
+    }
+
+    Map<String, dynamic> data;
+    try {
+      data = json.decode(image.analysisData!);
+    } catch (e) {
+      return const AlertDialog(content: Text("Corrupt analysis data."));
+    }
+
+    return Dialog(
+      insetPadding: const EdgeInsets.all(16),
+      child: Container(
+        constraints: const BoxConstraints(maxWidth: 500, maxHeight: 700),
+        padding: const EdgeInsets.all(16),
+        child: Column(
+          children: [
+            Row(
+              mainAxisAlignment: MainAxisAlignment.spaceBetween,
+              children: [
+                const Text("Image Intelligence", style: TextStyle(fontSize: 22, fontWeight: FontWeight.bold)),
+                IconButton(icon: const Icon(Icons.close), onPressed: () => Navigator.pop(context)),
+              ],
+            ),
+            const Divider(),
+            Expanded(
+              child: ListView(
+                children: [
+                  // 1. Layout
+                  if (data['layout'] != null && data['layout']['top5'] != null)
+                    _buildSection(
+                      "Composition",
+                      Icons.grid_goldenratio,
+                      Colors.blue,
+                      _buildList(data['layout']['top5']),
+                    ),
+
+                  // 2. Texture
+                  if (data['texture'] != null && (data['texture'] as List).isNotEmpty)
+                    _buildSection(
+                      "Texture",
+                      Icons.texture,
+                      Colors.orange,
+                      Wrap(
+                        spacing: 8,
+                        children: (data['texture'] as List).map((t) => Chip(
+                          label: Text("${t['name']} ${(t['score']*100).toInt()}%"),
+                          backgroundColor: Colors.orange.shade50,
+                          avatar: const CircleAvatar(radius: 8, backgroundColor: Colors.orange),
+                        )).toList(),
+                      ),
+                    ),
+
+                  // 3. Color
+                  if (data['color'] != null)
+                    _buildSection(
+                      "Color Style",
+                      Icons.palette,
+                      Colors.purple,
+                      Column(
+                        crossAxisAlignment: CrossAxisAlignment.start,
+                        children: [
+                          Text(
+                            (data['color']['top_label'] ?? 'Unknown').toString().toUpperCase(),
+                            style: const TextStyle(fontSize: 18, fontWeight: FontWeight.w900, color: Colors.purple),
+                          ),
+                          LinearProgressIndicator(
+                            value: (data['color']['top_score'] as num?)?.toDouble() ?? 0.0,
+                            color: Colors.purple,
+                            backgroundColor: Colors.purple.shade50,
+                          ),
+                        ],
+                      ),
+                    ),
+
+                  // 4. Embeddings
+                  if (data['embedding'] != null)
+                    _buildSection(
+                      "AI Style",
+                      Icons.auto_awesome,
+                      Colors.indigo,
+                      Wrap(
+                        spacing: 6,
+                        children: (data['embedding']['top5'] as List? ?? []).map<Widget>((e) => Chip(
+                          label: Text(e['name'], style: const TextStyle(fontSize: 10)),
+                          visualDensity: VisualDensity.compact,
+                        )).toList(),
+                      ),
+                    ),
+                ],
+              ),
+            ),
+          ],
+        ),
+      ),
+    );
+  }
+
+  Widget _buildSection(String title, IconData icon, Color color, Widget content) {
+    return Card(
+      margin: const EdgeInsets.only(bottom: 16),
+      elevation: 0,
+      shape: RoundedRectangleBorder(
+        borderRadius: BorderRadius.circular(12), 
+        side: BorderSide(color: color.withOpacity(0.2))
+      ),
+      child: Padding(
+        padding: const EdgeInsets.all(12),
+        child: Column(
+          crossAxisAlignment: CrossAxisAlignment.start,
+          children: [
+            Row(children: [
+              Icon(icon, color: color, size: 20),
+              const SizedBox(width: 8),
+              Text(title, style: TextStyle(fontSize: 16, fontWeight: FontWeight.bold, color: color)),
+            ]),
+            const SizedBox(height: 12),
+            content,
+          ],
+        ),
+      ),
+    );
+  }
+
+  Widget _buildList(List items) {
+    return Column(
+      children: items.map((item) => Padding(
+        padding: const EdgeInsets.symmetric(vertical: 2),
+        child: Row(
+          mainAxisAlignment: MainAxisAlignment.spaceBetween,
+          children: [
+            Text(item['name'], style: const TextStyle(fontWeight: FontWeight.w500)),
+            Text("${(item['score'] * 100).toStringAsFixed(1)}%", style: const TextStyle(color: Colors.grey)),
+          ],
+        ),
+      )).toList(),
+    );
+  }
+}
diff --git a/lib/utils/clip_image_processor.dart b/lib/utils/clip_image_processor.dart
@@ -1,5 +1,3 @@
-// lib/utils/clip_image_processor.dart
-
 import 'dart:typed_data';
 import 'dart:io';
 import 'package:image/image.dart' as img;
@@ -13,14 +11,14 @@ class ClipImageProcessor {
   static Future<Float32List?> preprocess(String filePath) async {
     final bytes = await File(filePath).readAsBytes();
     final image = img.decodeImage(bytes);
-
+    
     if (image == null) return null;
 
     // 1. Resize (Shortest side to 224)
     int w = image.width;
     int h = image.height;
     int target = 224;
-
+    
     img.Image resized;
     if (w < h) {
       resized = img.copyResize(image, width: target);
@@ -34,7 +32,7 @@ class ClipImageProcessor {
     // 3. Convert to Float32 List (NCHW format: Batch, Channels, Height, Width)
     // Size: 1 * 3 * 224 * 224 = 150,528 float values
     final Float32List inputData = Float32List(1 * 3 * 224 * 224);
-
+    
     int pixelIndex = 0;
     // Iterate pixels and separate channels
     // Planar format (RRRR... GGGG... BBBB...)
@@ -45,7 +43,7 @@ class ClipImageProcessor {
     for (var y = 0; y < 224; y++) {
       for (var x = 0; x < 224; x++) {
         final pixel = cropped.getPixel(x, y);
-
+        
         // Normalize: (Value/255 - Mean) / Std
         double r = (pixel.r / 255.0 - mean[0]) / std[0];
         double g = (pixel.g / 255.0 - mean[1]) / std[1];
@@ -54,7 +52,7 @@ class ClipImageProcessor {
         inputData[rOffset + pixelIndex] = r;
         inputData[gOffset + pixelIndex] = g;
         inputData[bOffset + pixelIndex] = b;
-
+        
         pixelIndex++;
       }
     }
diff --git a/linux/flutter/generated_plugin_registrant.cc b/linux/flutter/generated_plugin_registrant.cc
@@ -7,9 +7,13 @@
 #include "generated_plugin_registrant.h"
 
 #include <file_selector_linux/file_selector_plugin.h>
+#include <flutter_onnxruntime/flutter_onnxruntime_plugin.h>
 
 void fl_register_plugins(FlPluginRegistry* registry) {
   g_autoptr(FlPluginRegistrar) file_selector_linux_registrar =
       fl_plugin_registry_get_registrar_for_plugin(registry, "FileSelectorPlugin");
   file_selector_plugin_register_with_registrar(file_selector_linux_registrar);
+  g_autoptr(FlPluginRegistrar) flutter_onnxruntime_registrar =
+      fl_plugin_registry_get_registrar_for_plugin(registry, "FlutterOnnxruntimePlugin");
+  flutter_onnxruntime_plugin_register_with_registrar(flutter_onnxruntime_registrar);
 }
diff --git a/linux/flutter/generated_plugins.cmake b/linux/flutter/generated_plugins.cmake
@@ -4,6 +4,7 @@
 
 list(APPEND FLUTTER_PLUGIN_LIST
   file_selector_linux
+  flutter_onnxruntime
 )
 
 list(APPEND FLUTTER_FFI_PLUGIN_LIST
diff --git a/macos/Flutter/GeneratedPluginRegistrant.swift b/macos/Flutter/GeneratedPluginRegistrant.swift
@@ -6,11 +6,15 @@ import FlutterMacOS
 import Foundation
 
 import file_selector_macos
+import flutter_onnxruntime
 import path_provider_foundation
+import shared_preferences_foundation
 import sqflite_darwin
 
 func RegisterGeneratedPlugins(registry: FlutterPluginRegistry) {
   FileSelectorPlugin.register(with: registry.registrar(forPlugin: "FileSelectorPlugin"))
+  FlutterOnnxruntimePlugin.register(with: registry.registrar(forPlugin: "FlutterOnnxruntimePlugin"))
   PathProviderPlugin.register(with: registry.registrar(forPlugin: "PathProviderPlugin"))
+  SharedPreferencesPlugin.register(with: registry.registrar(forPlugin: "SharedPreferencesPlugin"))
   SqflitePlugin.register(with: registry.registrar(forPlugin: "SqflitePlugin"))
 }
diff --git a/pubspec.lock b/pubspec.lock
@@ -9,14 +9,22 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "4.0.7"
+  archive:
+    dependency: transitive
+    description:
+      name: archive
+      sha256: "2fde1607386ab523f7a36bb3e7edb43bd58e6edaf2ffb29d8a6d578b297fdbbd"
+      url: "https://pub.dev"
+    source: hosted
+    version: "4.0.7"
   async:
     dependency: transitive
     description:
       name: async
-      sha256: d2872f9c19731c2e5f10444b14686eb7cc85c76274bd6c16e1816bff9a3bab63
+      sha256: "758e6d74e971c3e5aceb4110bfd6698efc7f501675bcfe0c775459a8140750eb"
       url: "https://pub.dev"
     source: hosted
-    version: "2.12.0"
+    version: "2.13.0"
   boolean_selector:
     dependency: transitive
     description:
@@ -97,6 +105,14 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "2.1.4"
+  file:
+    dependency: transitive
+    description:
+      name: file
+      sha256: a3b4f84adafef897088c160faf7dfffb7696046cb13ae90b508c2cbc95d3b8d4
+      url: "https://pub.dev"
+    source: hosted
+    version: "7.0.1"
   file_selector_linux:
     dependency: transitive
     description:
@@ -150,6 +166,14 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "5.0.0"
+  flutter_onnxruntime:
+    dependency: "direct main"
+    description:
+      name: flutter_onnxruntime
+      sha256: "55842e69293ec52c07f3065049ff7641e94e8a6cca3f659a913d5401a3994424"
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.6.0"
   flutter_plugin_android_lifecycle:
     dependency: transitive
     description:
@@ -268,26 +292,26 @@ packages:
     dependency: transitive
     description:
       name: leak_tracker
-      sha256: "33e2e26bdd85a0112ec15400c8cbffea70d0f9c3407491f672a2fad47915e2de"
+      sha256: "6bb818ecbdffe216e81182c2f0714a2e62b593f4a4f13098713ff1685dfb6ab0"
       url: "https://pub.dev"
     source: hosted
-    version: "11.0.2"
+    version: "10.0.9"
   leak_tracker_flutter_testing:
     dependency: transitive
     description:
       name: leak_tracker_flutter_testing
-      sha256: "1dbc140bb5a23c75ea9c4811222756104fbcd1a27173f0c34ca01e16bea473c1"
+      sha256: f8b613e7e6a13ec79cfdc0e97638fddb3ab848452eff057653abd3edba760573
       url: "https://pub.dev"
     source: hosted
-    version: "3.0.10"
+    version: "3.0.9"
   leak_tracker_testing:
     dependency: transitive
     description:
       name: leak_tracker_testing
-      sha256: "8d5a2d49f4a66b49744b23b018848400d23e54caf9463f4eb20df3eb8acb2eb1"
+      sha256: "6ba465d5d76e67ddf503e1161d1f4a6bc42306f9d66ca1e8f079a47290fb06d3"
       url: "https://pub.dev"
     source: hosted
-    version: "3.0.2"
+    version: "3.0.1"
   lints:
     dependency: transitive
     description:
@@ -316,10 +340,10 @@ packages:
     dependency: transitive
     description:
       name: meta
-      sha256: "23f08335362185a5ea2ad3a4e597f1375e78bce8a040df5c600c8d3552ef2394"
+      sha256: e3641ec5d63ebf0d9b41bd43201a66e3fc79a65db5f61fc181f04cd27aab950c
       url: "https://pub.dev"
     source: hosted
-    version: "1.17.0"
+    version: "1.16.0"
   mime:
     dependency: transitive
     description:
@@ -328,6 +352,14 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "2.0.0"
+  nested:
+    dependency: transitive
+    description:
+      name: nested
+      sha256: "03bac4c528c64c95c722ec99280375a6f2fc708eec17c7b3f07253b626cd2a20"
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.0.0"
   onnxruntime:
     dependency: "direct main"
     description:
@@ -396,10 +428,10 @@ packages:
     dependency: transitive
     description:
       name: petitparser
-      sha256: "1a97266a94f7350d30ae522c0af07890c70b8e62c71e8e3920d1db4d23c057d1"
+      sha256: "07c8f0b1913bcde1ff0d26e57ace2f3012ccbf2b204e070290dad3bb22797646"
       url: "https://pub.dev"
     source: hosted
-    version: "7.0.1"
+    version: "6.1.0"
   platform:
     dependency: transitive
     description:
@@ -424,6 +456,14 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "6.0.3"
+  provider:
+    dependency: "direct main"
+    description:
+      name: provider
+      sha256: "4e82183fa20e5ca25703ead7e05de9e4cceed1fbd1eadc1ac3cb6f565a09f272"
+      url: "https://pub.dev"
+    source: hosted
+    version: "6.1.5+1"
   receive_sharing_intent:
     dependency: "direct main"
     description:
@@ -432,6 +472,62 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "1.8.1"
+  shared_preferences:
+    dependency: "direct main"
+    description:
+      name: shared_preferences
+      sha256: "6e8bf70b7fef813df4e9a36f658ac46d107db4b4cfe1048b477d4e453a8159f5"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.5.3"
+  shared_preferences_android:
+    dependency: transitive
+    description:
+      name: shared_preferences_android
+      sha256: bd14436108211b0d4ee5038689a56d4ae3620fd72fd6036e113bf1345bc74d9e
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.13"
+  shared_preferences_foundation:
+    dependency: transitive
+    description:
+      name: shared_preferences_foundation
+      sha256: "6a52cfcdaeac77cad8c97b539ff688ccfc458c007b4db12be584fbe5c0e49e03"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.5.4"
+  shared_preferences_linux:
+    dependency: transitive
+    description:
+      name: shared_preferences_linux
+      sha256: "580abfd40f415611503cae30adf626e6656dfb2f0cee8f465ece7b6defb40f2f"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.1"
+  shared_preferences_platform_interface:
+    dependency: transitive
+    description:
+      name: shared_preferences_platform_interface
+      sha256: "57cbf196c486bc2cf1f02b85784932c6094376284b3ad5779d1b1c6c6a816b80"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.1"
+  shared_preferences_web:
+    dependency: transitive
+    description:
+      name: shared_preferences_web
+      sha256: c49bd060261c9a3f0ff445892695d6212ff603ef3115edbb448509d407600019
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.3"
+  shared_preferences_windows:
+    dependency: transitive
+    description:
+      name: shared_preferences_windows
+      sha256: "94ef0f72b2d71bc3e700e025db3710911bd51a71cefb65cc609dd0d9a982e3c1"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.1"
   sky_engine:
     dependency: transitive
     description: flutter
@@ -529,10 +625,10 @@ packages:
     dependency: transitive
     description:
       name: test_api
-      sha256: ab2726c1a94d3176a45960b6234466ec367179b87dd74f1611adb1f3b5fb9d55
+      sha256: fb31f383e2ee25fbbfe06b40fe21e1e458d14080e3c67e7ba0acfde4df4e0bbd
       url: "https://pub.dev"
     source: hosted
-    version: "0.7.7"
+    version: "0.7.4"
   typed_data:
     dependency: transitive
     description:
@@ -553,18 +649,18 @@ packages:
     dependency: transitive
     description:
       name: vector_math
-      sha256: d530bd74fea330e6e364cda7a85019c434070188383e1cd8d9777ee586914c5b
+      sha256: "80b3257d1492ce4d091729e3a67a60407d227c27241d6927be0130c98e741803"
       url: "https://pub.dev"
     source: hosted
-    version: "2.2.0"
+    version: "2.1.4"
   vm_service:
     dependency: transitive
     description:
       name: vm_service
-      sha256: "0968250880a6c5fe7edc067ed0a13d4bae1577fe2771dcf3010d52c4a9d3ca14"
+      sha256: ddfa8d30d89985b96407efce8acbdd124701f96741f2d981ca860662f1c0dc02
       url: "https://pub.dev"
     source: hosted
-    version: "14.3.1"
+    version: "15.0.0"
   web:
     dependency: transitive
     description:
@@ -585,10 +681,10 @@ packages:
     dependency: transitive
     description:
       name: xml
-      sha256: "971043b3a0d3da28727e40ed3e0b5d18b742fa5a68665cca88e74b7876d5e025"
+      sha256: b015a8ad1c488f66851d762d3090a21c600e479dc75e68328c52774040cf9226
       url: "https://pub.dev"
     source: hosted
-    version: "6.6.1"
+    version: "6.5.0"
 sdks:
-  dart: ">=3.8.0 <4.0.0"
+  dart: ">=3.7.2 <4.0.0"
   flutter: ">=3.29.0"
diff --git a/pubspec.yaml b/pubspec.yaml
@@ -1,39 +1,15 @@
 name: adobe
-description: "A new Flutter project."
-# The following line prevents the package from being accidentally published to
-# pub.dev using `flutter pub publish`. This is preferred for private packages.
-publish_to: 'none' # Remove this line if you wish to publish to pub.dev
-
-# The following defines the version and build number for your application.
-# A version number is three numbers separated by dots, like 1.2.43
-# followed by an optional build number separated by a +.
-# Both the version and the builder number may be overridden in flutter
-# build by specifying --build-name and --build-number, respectively.
-# In Android, build-name is used as versionName while build-number used as versionCode.
-# Read more about Android versioning at https://developer.android.com/studio/publish/versioning
-# In iOS, build-name is used as CFBundleShortVersionString while build-number is used as CFBundleVersion.
-# Read more about iOS versioning at
-# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html
-# In Windows, build-name is used as the major, minor, and patch parts
-# of the product and file versions while build-number is used as the build suffix.
+description: "AI-based image editor"
+publish_to: "none"
 version: 1.0.0+1
-
 environment:
   sdk: ^3.7.2
 
-# Dependencies specify other packages that your package needs in order to work.
-# To automatically upgrade your package dependencies to the latest versions
-# consider running `flutter pub upgrade --major-versions`. Alternatively,
-# dependencies can be manually updated by changing the version numbers below to
-# the latest version available on pub.dev. To see which dependencies have newer
-# versions available, run `flutter pub outdated`.
 dependencies:
   flutter:
     sdk: flutter
-
-  # The following adds the Cupertino Icons font to your application.
-  # Use with the CupertinoIcons class for iOS style icons.
   cupertino_icons: ^1.0.8
+
   sqflite: ^2.4.2
   path_provider: ^2.1.5
   path: ^1.9.1
@@ -42,6 +18,13 @@ dependencies:
   receive_sharing_intent: ^1.8.1
   http: ^1.6.0
   html: ^0.15.6
+  shared_preferences: ^2.5.3
+  provider: ^6.1.5+1
+  image: ^4.5.4
+  flutter_onnxruntime: ^1.6.0
+
+  onnxruntime: ^1.2.0
+  image: ^4.5.4
 
   onnxruntime: ^1.2.0
   image: ^4.5.4
@@ -50,22 +33,9 @@ dev_dependencies:
   flutter_test:
     sdk: flutter
 
-  # The "flutter_lints" package below contains a set of recommended lints to
-  # encourage good coding practices. The lint set provided by the package is
-  # activated in the `analysis_options.yaml` file located at the root of your
-  # package. See that file for information about deactivating specific lint
-  # rules and activating additional ones.
   flutter_lints: ^5.0.0
 
-# For information on the generic Dart part of this file, see the
-# following page: https://dart.dev/tools/pub/pubspec
-
-# The following section is specific to Flutter packages.
 flutter:
-
-  # The following line ensures that the Material Icons font is
-  # included with your application, so that you can use the icons in
-  # the material Icons class.
   uses-material-design: true
 
   assets:
@@ -73,33 +43,24 @@ flutter:
       - assets/emotion_centroids.json
       - assets/lighting_centroids.json
 
-  # To add assets to your application, add an assets section, like this:
-  # assets:
-  #   - images/a_dot_burr.jpeg
-  #   - images/a_dot_ham.jpeg
-
-  # An image asset can refer to one or more resolution-specific "variants", see
-  # https://flutter.dev/to/resolution-aware-images
-
-  # For details regarding adding assets from package dependencies, see
-  # https://flutter.dev/to/asset-from-package
-
-  # To add custom fonts to your application, add a fonts section here,
-  # in this "flutter" section. Each entry in this list should have a
-  # "family" key with the font family name, and a "fonts" key with a
-  # list giving the asset and other descriptors for the font. For
-  # example:
-  # fonts:
-  #   - family: Schyler
-  #     fonts:
-  #       - asset: fonts/Schyler-Regular.ttf
-  #       - asset: fonts/Schyler-Italic.ttf
-  #         style: italic
-  #   - family: Trajan Pro
-  #     fonts:
-  #       - asset: fonts/TrajanPro.ttf
-  #       - asset: fonts/TrajanPro_Bold.ttf
-  #         weight: 700
-  #
-  # For details regarding fonts from package dependencies,
-  # see https://flutter.dev/to/font-from-package
+  assets:
+    - assets/fonts/
+    - assets/dinov2.onnx
+    - assets/dinov2.onnx.data
+    - assets/texture_centroids.json
+    - assets/clip_image_encoder.onnx
+    - assets/style_embeddings.json
+    
+  fonts:
+    - family: GeneralSans
+      fonts:
+        - asset: assets/fonts/GeneralSans-Extralight.otf
+          weight: 200
+        - asset: assets/fonts/GeneralSans-Light.otf
+          weight: 300
+        - asset: assets/fonts/GeneralSans-Regular.otf
+          weight: 400
+        - asset: assets/fonts/GeneralSans-Medium.otf
+          weight: 500
+        - asset: assets/fonts/GeneralSans-Semibold.otf
+          weight: 600
diff --git a/setup_python_env.ps1 b/setup_python_env.ps1
@@ -1,46 +0,0 @@
-$ErrorActionPreference = "Stop"
-
-$ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path
-$VenvDir = Join-Path $ScriptDir "python_env"
-
-Write-Host "Setting up Python virtual environment..."
-
-# Detect Python 3.11 using Python launcher
-$PythonCmd = $null
-
-try {
-    $v = & py -3.11 --version 2>$null
-    if ($LASTEXITCODE -eq 0 -and $v -like "Python 3.11*") {
-        $PythonCmd = @("py", "-3.11")
-    }
-}
-catch {}
-
-if (-not $PythonCmd) {
-    Write-Host "ERROR: Python 3.11 is required but not found" -ForegroundColor Red
-    exit 1
-}
-
-# Print Python version
-$ver = & $PythonCmd[0] $PythonCmd[1] --version
-Write-Host ("Using Python: " + $ver)
-
-# Create venv
-if (-not (Test-Path $VenvDir)) {
-    Write-Host ("Creating virtual environment at " + $VenvDir + "...")
-    & $PythonCmd[0] $PythonCmd[1] -m venv $VenvDir
-    Write-Host "Virtual environment created successfully"
-} else {
-    Write-Host ("Virtual environment already exists at " + $VenvDir)
-}
-
-# Validate
-$VenvPython = Join-Path $VenvDir "Scripts\python.exe"
-
-if (Test-Path $VenvPython) {
-    $v = & $VenvPython --version
-    Write-Host ("Virtual environment Python version: " + $v)
-} else {
-    Write-Host "ERROR: Failed to create virtual environment" -ForegroundColor Red
-    exit 1
-}
diff --git a/setup_python_env.sh b/setup_python_env.sh
@@ -1,57 +0,0 @@
-#!/bin/bash
-
-# Setup script for Python virtual environment
-# This ensures all developers use the same Python version for builds
-
-set -e
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-VENV_DIR="$SCRIPT_DIR/python_env"
-
-echo "Setting up Python virtual environment for Chaquopy builds..."
-
-# Check if Python 3.11 is available
-if command -v python3.11 &> /dev/null; then
-    PYTHON_CMD="python3.11"
-elif command -v python3 &> /dev/null; then
-    PYTHON_VERSION=$(python3 --version | cut -d' ' -f2 | cut -d'.' -f1,2)
-    if [ "$PYTHON_VERSION" = "3.11" ]; then
-        PYTHON_CMD="python3"
-    else
-        echo "Error: Python 3.11 is required but not found."
-        echo "Please install Python 3.11:"
-        echo "  macOS: brew install python@3.11"
-        echo "  Linux: sudo apt-get install python3.11 python3.11-venv"
-        echo "  Or download from https://www.python.org/downloads/"
-        exit 1
-    fi
-else
-    echo "Error: Python 3.11 is required but not found."
-    echo "Please install Python 3.11 first."
-    exit 1
-fi
-
-echo "Using Python: $($PYTHON_CMD --version)"
-
-# Create virtual environment if it doesn't exist
-if [ ! -d "$VENV_DIR" ]; then
-    echo "Creating virtual environment at $VENV_DIR..."
-    $PYTHON_CMD -m venv "$VENV_DIR"
-    echo "Virtual environment created successfully!"
-else
-    echo "Virtual environment already exists at $VENV_DIR"
-fi
-
-# Verify the venv
-if [ -f "$VENV_DIR/bin/python" ]; then
-    VENV_PYTHON_VERSION=$("$VENV_DIR/bin/python" --version)
-    echo "Virtual environment Python version: $VENV_PYTHON_VERSION"
-    echo ""
-    echo "✓ Python virtual environment is ready!"
-    echo "  Location: $VENV_DIR"
-    echo ""
-    echo "The build system will automatically use this Python environment."
-else
-    echo "Error: Failed to create virtual environment"
-    exit 1
-fi
diff --git a/test/widget_test.dart b/test/widget_test.dart
@@ -1,29 +0,0 @@
-// This is a basic Flutter widget test.
-//
-// To perform an interaction with a widget in your test, use the WidgetTester
-// utility in the flutter_test package. For example, you can send tap and scroll
-// gestures. You can also use WidgetTester to find child widgets in the widget
-// tree, read text, and verify that the values of widget properties are correct.
-
-import 'package:adobe/ui/pages/home_page.dart';
-import 'package:flutter/material.dart';
-import 'package:flutter_test/flutter_test.dart';
-
-void main() {
-  testWidgets('Counter increments smoke test', (WidgetTester tester) async {
-    // Build our app and trigger a frame.
-    await tester.pumpWidget(MaterialApp(home: HomePage()));
-
-    // Verify that our counter starts at 0.
-    expect(find.text('0'), findsOneWidget);
-    expect(find.text('1'), findsNothing);
-
-    // Tap the '+' icon and trigger a frame.
-    await tester.tap(find.byIcon(Icons.add));
-    await tester.pump();
-
-    // Verify that our counter has incremented.
-    expect(find.text('0'), findsNothing);
-    expect(find.text('1'), findsOneWidget);
-  });
-}
diff --git a/triagebot.toml b/triagebot.toml
@@ -1,9 +1,17 @@
 ###############################################
-# TRIAGEBOT CONFIG FOR adobe
+# TRIAGEBOT CONFIG FOR adobe (Flutter + Python)
 ###############################################
 
 # ─────────────────────────────────────────────
-# RELABEL
+# GENERAL REPO SETTINGS
+# ─────────────────────────────────────────────
+
+[include]
+# Paths triagebot should watch (all by default)
+paths = ["*"]
+
+# ─────────────────────────────────────────────
+# RELABEL: Allow contributors to relabel issues
 # ─────────────────────────────────────────────
 [relabel]
 allow-unauthenticated = [
@@ -15,46 +23,96 @@ allow-unauthenticated = [
 ]
 
 # ─────────────────────────────────────────────
-# ASSIGN / CLAIM
+# CLAIM / ASSIGN: Allow contributors to self-assign
 # ─────────────────────────────────────────────
 [assign]
-allow-unauthenticated = true
 auto_assign_on_mention = true
 warn_on_unused_assign = true
+
+# Optional, define who is auto-assignable:
 assignable = [
-    "nilotpal-n7",
-    "aditya-samal"
+    "nilotpal-n7",  # ← replace with your GitHub username
+    "aditya-samal",
 ]
 
 # ─────────────────────────────────────────────
-# PING GROUPS
+# REVIEWERS: Auto reviewer assignment groups
+# ─────────────────────────────────────────────
+[reviewers]
+# reviewers = ["user1", "user2"]   # optional root list
+
+# group: flutter
+[reviewers.groups.flutter]
+reviewers = ["nilotpal-n7"]
+
+# group: android
+[reviewers.groups.android]
+reviewers = ["nilotpal-n7"]
+
+# group: python
+[reviewers.groups.python]
+reviewers = ["nilotpal-n7"]
+
+# group: ci
+[reviewers.groups.ci]
+reviewers = ["nilotpal-n7"]
+
+# Path → reviewer group routing
+[reviewers.paths."lib/**"]
+groups = ["flutter"]
+
+[reviewers.paths."android/**"]
+groups = ["android"]
+
+[reviewers.paths."ios/**"]
+groups = ["flutter"]
+
+[reviewers.paths."web/**"]
+groups = ["flutter"]
+
+[reviewers.paths."python_env/**"]
+groups = ["python"]
+
+[reviewers.paths."build/**"]
+groups = ["ci"]
+
+# Auto-assign reviewers when PR touches certain paths
+paths."lib/**"        = ["flutter"]
+paths."android/**"    = ["android"]
+paths."ios/**"        = ["flutter"]
+paths."web/**"        = ["flutter"]
+paths."python_env/**" = ["python"]
+paths."build/**"      = ["ci"]
+
+# ─────────────────────────────────────────────
+# PING SYSTEM: Easily notify groups
 # ─────────────────────────────────────────────
 [ping]
-allowed_users = ["nilotpal-n7", "aditya-samal"]
+allowed_users = ["nilotpal-n7"]
 
 [ping.flutter]
-aliases = ["flutter-team"]
-user_list = ["nilotpal-n7", "aditya-samal"]
 message = """\
-Flutter: please review this issue/PR.
+Flutter team: please review this issue/PR.
 """
+aliases = ["flutter-team"]
+user_list = ["nilotpal-n7"]
 
 [ping.python]
-aliases = ["python-team"]
-user_list = ["nilotpal-n7", "aditya-samal"]
 message = """\
-Python/WASM team ping.
+Python/WASM integration group ping.
 """
+aliases = ["python-team"]
+user_list = ["nilotpal-n7"]
 
 [ping.android]
-aliases = ["android-team"]
-user_list = ["nilotpal-n7", "aditya-samal"]
 message = """\
-Android integration team ping.
+Android integration maintainers ping.
 """
+aliases = ["android-team"]
+user_list = ["nilotpal-n7"]
 
 # ─────────────────────────────────────────────
-# MAJOR CHANGE PROCESS
+# MAJOR CHANGE PROCESS (MCP)
 # ─────────────────────────────────────────────
 [major-change]
 enabling_label = "major-change"
@@ -65,18 +123,22 @@ accept_label = "major-change-accepted"
 waiting_period = 1
 auto_closing = true
 
+# Optional: Replace with your zulip/discord stream ID
 zulip_stream = 1
 zulip_ping = "team"
 
+# ─────────────────────────────────────────────
+# MCP: Tracking issue template (auto-generated)
+# ─────────────────────────────────────────────
 [major-change.tracking-issue-template]
 repository = "adobe"
 title = "Tracking issue for MCP#${mcp_number}"
-labels = ["major-change", "tracking"]
 body = """
-Tracking issue for MCP ${mcp_issue}: ${mcp_title}
+This issue tracks MCP ${mcp_issue}: ${mcp_title}
 
 Created by ${mcp_author}
 """
+labels = ["major-change", "tracking"]
 
 # ─────────────────────────────────────────────
 # CONCERN SYSTEM
@@ -85,41 +147,19 @@ Created by ${mcp_author}
 labels = ["has-concerns"]
 
 # ─────────────────────────────────────────────
-# NOTE SYSTEM
+# NOTE SYSTEM: Allows @bot note "text"
 # ─────────────────────────────────────────────
 [note]
 
 # ─────────────────────────────────────────────
-# REVIEW CHANGES SINCE
+# REVIEW-CHANGES-SINCE
 # ─────────────────────────────────────────────
 [review-changes-since]
 
 # ─────────────────────────────────────────────
-# AUTO LABEL
-# ─────────────────────────────────────────────
-[autolabel."lib/**"]
-labels = ["flutter"]
-
-[autolabel."android/**"]
-labels = ["android"]
-
-[autolabel."python_env/**"]
-labels = ["python"]
-
-[autolabel."build/**"]
-labels = ["ci"]
-
-# ─────────────────────────────────────────────
-# ZULIP NOTIFY ON LABELS
+# AUTO-NOTIFY LABELS (Optional)
 # ─────────────────────────────────────────────
-[notify-zulip.labels.flutter]
-zulip_stream = 1
-topic = "flutter"
-
-[notify-zulip.labels.python]
-zulip_stream = 1
-topic = "python"
-
-[notify-zulip.labels.ci]
-zulip_stream = 1
-topic = "ci"
+[labels.notify]
+"flutter" = ["nilotpal-n7"]
+"python"  = ["nilotpal-n7"]
+"ci"      = ["nilotpal-n7"]
diff --git a/windows/flutter/generated_plugin_registrant.cc b/windows/flutter/generated_plugin_registrant.cc
@@ -7,8 +7,11 @@
 #include "generated_plugin_registrant.h"
 
 #include <file_selector_windows/file_selector_windows.h>
+#include <flutter_onnxruntime/flutter_onnxruntime_plugin.h>
 
 void RegisterPlugins(flutter::PluginRegistry* registry) {
   FileSelectorWindowsRegisterWithRegistrar(
       registry->GetRegistrarForPlugin("FileSelectorWindows"));
+  FlutterOnnxruntimePluginRegisterWithRegistrar(
+      registry->GetRegistrarForPlugin("FlutterOnnxruntimePlugin"));
 }
diff --git a/windows/flutter/generated_plugins.cmake b/windows/flutter/generated_plugins.cmake
@@ -4,6 +4,7 @@
 
 list(APPEND FLUTTER_PLUGIN_LIST
   file_selector_windows
+  flutter_onnxruntime
 )
 
 list(APPEND FLUTTER_FFI_PLUGIN_LIST