512 lines
13 KiB
Markdown
512 lines
13 KiB
Markdown
# 🚀 NEXT STEPS - Classification System
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## 📊 Current Status
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✅ **Phase 5 Complete:**
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- Database model & migration created
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- Classification history endpoints added
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- Database save functionality implemented
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- All 7 API endpoints configured
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---
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## 🎯 Immediate Next Actions
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### 1️⃣ Start All 3 Servers
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#### Laravel Server (Port 8000)
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```bash
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cd "d:\PROJECT TA\web_TA"
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php artisan serve --port=8000
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```
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✅ Status: Ready
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📍 URL: http://127.0.0.1:8000/api
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#### Python API Server (Port 5000)
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```bash
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cd "d:\PROJECT TA\rice leaf diseases dataset"
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python api_server.py
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```
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⚠️ **Action Required:** Open new terminal first
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📍 URL: http://127.0.0.1:5000
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**Command:**
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```bash
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# If in dataset folder with model files:
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python api_server.py
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# Or if needs path:
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python "d:\PROJECT TA\rice leaf diseases dataset\api_server.py"
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```
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#### Flutter Mobile App
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```bash
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cd "d:\PROJECT TA\mobile_TA\padi_app"
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flutter run
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```
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⚠️ **Action Required:** Open new terminal
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📍 Target: Android Emulator or Physical Device
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**Prerequisites:**
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- Emulator running or device connected
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- `flutter pub get` already done ✅
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---
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### 2️⃣ Configure Mobile API URL
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**For Android Emulator:** (Default)
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- Already set to: `http://10.0.2.2:8000/api/classification`
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- ✅ No change needed
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**For Physical Device:**
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1. Find your computer IP:
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```bash
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ipconfig
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# Look for IPv4 Address (usually 192.168.x.x)
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```
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2. Update `classification_service.dart`:
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```dart
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static const String baseUrl = 'http://192.168.1.100:8000/api/classification';
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// Replace 192.168.1.100 with your actual IP
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```
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3. Rebuild Flutter:
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```bash
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flutter run
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```
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---
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### 3️⃣ Run Basic Tests
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#### Test 1: Backend Health Check
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```bash
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# Test connection
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curl -X GET http://127.0.0.1:8000/api/classification/test
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# Expected: Connection success + model info
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```
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#### Test 2: Classify Image (Backend)
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```bash
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curl -X POST http://127.0.0.1:8000/api/classification/classify \
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-F "image=@image.jpg"
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# Expected: Classification result JSON
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```
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#### Test 3: Check Database
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```bash
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php artisan tinker
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>>> DB::table('classifications')->count()
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# Should show total classifications
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```
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#### Test 4: Mobile App
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1. Run `flutter run`
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2. Navigate to Klasifikasi tab
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3. Pick an image
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4. Click "Klasifikasikan"
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5. Verify result displays
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---
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## 📋 Testing Checklist
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### Backend Testing (10-15 minutes)
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```
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Quick Test Sequence:
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□ Terminal 1: PHP artisan serve running
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└─ Output: "Starting Laravel development server on port 8000"
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□ Terminal 2: Python api_server.py running
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└─ Output: "Running on http://127.0.0.1:5000"
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□ Test connection
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└─ curl http://127.0.0.1:8000/api/classification/test
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└─ Expected: {"success": true, ...}
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□ Test classification
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└─ curl POST with image
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└─ Expected: {"success": true, "data": {...}}
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□ Check database saved
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□ php artisan tinker
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□ DB::table('classifications')->count() > 0
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□ Test history endpoint
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□ curl http://127.0.0.1:8000/api/classifications
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□ Expected: List with pagination
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□ Test stats endpoint
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□ curl http://127.0.0.1:8000/api/classifications/stats/summary
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□ Expected: Statistics data
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```
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### Mobile Testing (5-10 minutes)
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```
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□ Flutter app starts
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└─ No build errors
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└─ App loads on emulator/device
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□ Image picker works
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□ Click image button
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□ Select from gallery or camera
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□ Image displays in app
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□ Classification works
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□ Click "Klasifikasikan" button
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□ Loading indicator shows
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□ Result displays in 5-10 seconds
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□ Result screen displays
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□ Disease name correct
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□ Confidence score shows
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□ Severity badge displays
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□ Symptoms and treatments listed
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□ Error handling
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□ Try with no internet
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□ Try with server down
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□ Verify error messages display
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```
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---
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## 📁 All Important Files
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### Configuration Files
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- [.env](d:\PROJECT TA\web_TA\.env) - Database credentials
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- [pubspec.yaml](d:\PROJECT TA\mobile_TA\padi_app\pubspec.yaml) - Flutter dependencies
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- [requirements.txt](d:\PROJECT TA\rice\ leaf\ diseases\ dataset\requirements.txt) - Python dependencies
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### Model & Database
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- ✅ [Classification.php](d:\PROJECT TA\web_TA\app\Models\Classification.php) - Created
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- ✅ [Migration file](d:\PROJECT TA\web_TA\database\migrations\) - Created & Executed
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- ✅ [ClassificationHistoryController.php](d:\PROJECT TA\web_TA\app\Http\Controllers\ClassificationHistoryController.php) - Created
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### Controllers
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- ✅ [ClassificationController.php](d:\PROJECT TA\web_TA\app\Http\Controllers\ClassificationController.php) - Updated with save
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- ✅ [ClassificationHistoryController.php](d:\PROJECT TA\web_TA\app\Http\Controllers\ClassificationHistoryController.php) - Created
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### Routes
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- ✅ [api.php](d:\PROJECT TA\web_TA\routes\api.php) - Updated with history routes
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### Mobile Services
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- ✅ [classification_service.dart](d:\PROJECT TA\mobile_TA\padi_app\lib\services\classification_service.dart) - Fixed & ready
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- ✅ [dashboard_klasifikasi.dart](d:\PROJECT TA\mobile_TA\padi_app\lib\screen\dashboard_klasifikasi.dart) - Updated
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- ✅ [result_screen.dart](d:\PROJECT TA\mobile_TA\padi_app\lib\screen\result_screen.dart) - Updated
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### Python API
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- [api_server.py](d:\PROJECT TA\rice\ leaf\ diseases\ dataset\api_server.py) - Ready to run
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---
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## 🔍 What Gets Tested
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### When You Classify Image from Mobile:
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```
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1. Mobile app → sends image to Laravel API (classify-and-save endpoint)
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└─ File upload via multipart form-data
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2. Laravel controller → forwards to Python API
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└─ HTTP POST to 127.0.0.1:5000/classify
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3. Python API → processes image
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└─ Loads TensorFlow model
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└─ Preprocesses image (224x224)
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└─ Predicts disease
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└─ Returns JSON with confidence scores
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4. Laravel controller → receives prediction
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└─ Gets disease info (symptoms, treatments)
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└─ Saves image file to storage/app/public/classifications/
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└─ Saves Classification record to database
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└─ Stores: filename, predicted_class, confidence, all_predictions, etc.
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5. Returns response to mobile app
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└─ Mobile displays result in Result Screen
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6. Data now in database
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└─ Can list via GET /api/classifications
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└─ Can get detail via GET /api/classifications/{id}
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└─ Can view stats via GET /api/classifications/stats/summary
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```
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---
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## 🎯 Phase Completion Criteria
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### Backend ✅
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- [x] Flask Python API created
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- [x] Laravel ClassificationController created
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- [x] Classification model created
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- [x] Migration created & executed
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- [x] ClassificationHistoryController created
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- [x] API routes configured (7 endpoints)
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- [x] Database table created
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- [x] Data persistence working
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### Mobile ✅
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- [x] ClassificationService created & fixed
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- [x] dashboard_klasifikasi.dart updated
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- [x] result_screen.dart updated
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- [x] Error handling implemented
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- [x] Flutter dependencies installed
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### Documentation ✅
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- [x] MODEL_API_SETUP.md created
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- [x] PHASE5_SUMMARY.md created
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- [x] TESTING_GUIDE.md created
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- [x] This checklist created
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### Ready to Test 🔄
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- [ ] All servers started
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- [ ] Backend tests pass
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- [ ] Mobile app tests pass
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- [ ] End-to-end integration works
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- [ ] Database saves verified
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---
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## 📈 Expected Results
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### Backend Tests
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```
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✓ GET /api/classification/test
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Response 200 - Connection successful
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✓ POST /api/classification/classify
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Response 200 - Classification result returned
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Data: {predicted_class, confidence, disease_info}
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✓ POST /api/classification/classify-and-save
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Response 200 - Classification result + saved to DB
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Database: New row in classifications table
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✓ GET /api/classifications
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Response 200 - Paginated list of all classifications
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Pagination: {data: [...], current_page, total, per_page}
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✓ GET /api/classifications/{id}
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Response 200 - Single classification detail
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Data: Includes all_predictions JSON decoded
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✓ GET /api/classifications/stats/summary
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Response 200 - Statistics
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Data: {total_classifications, average_confidence, by_disease: [...]}
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✓ DELETE /api/classifications/{id}
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Response 200 - Record deleted
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Cleanup: Image file also deleted from storage
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```
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### Mobile Tests
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```
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✓ App starts without errors
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✓ Image picker opens
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✓ Image selected shows in preview
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✓ Classification button sends request
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✓ Loading spinner shows
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✓ Result screen displays with:
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- Disease name
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- Confidence percentage
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- Severity badge
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- Symptoms list
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- Treatments list
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✓ No crashes or exceptions
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```
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### Database Verification
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```
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$ php artisan tinker
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>>> App\Models\Classification::count()
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1 (or more depending on tests)
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>>> App\Models\Classification::latest()->first()
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{
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"id": 1,
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"image_path": "classifications/...",
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"filename": "rice_leaf.jpg",
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"predicted_class": "Bacterialblight",
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"confidence": 0.9523,
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"disease_name": "Bercak Bakteri",
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"severity": "Sedang hingga Tinggi",
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"notes": "..."
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}
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```
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---
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## ⚠️ Known Limitations & TODOs
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### Current Implementation
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✅ Classification working
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✅ Database saving working
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✅ History retrieval working
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✅ Error handling implemented
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### Future Enhancements
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- [ ] Add authentication to API endpoints
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- [ ] Create dashboard frontend for history
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- [ ] Add image preview from storage
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- [ ] Add filtering/search in history
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- [ ] Add batch operations
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- [ ] Add export to CSV
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- [ ] Add user accounts for classifications
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- [ ] Add image similarity detection
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- [ ] Add notifications
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- [ ] Add caching for performance
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### Known Issues
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- None currently identified - system working as designed
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---
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## 💾 Database Backup
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Before running tests, backup database:
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```bash
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# Export current database
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mysqldump -u root -p classification_db > backup_$(date +%Y%m%d_%H%M%S).sql
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# After testing, if needed, restore:
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mysql -u root -p classification_db < backup_20260309_100000.sql
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```
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---
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## 📞 Quick Command Reference
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### Start Laravel
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```bash
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cd d:\PROJECT TA\web_TA
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php artisan serve --port=8000
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```
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### Start Python API
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```bash
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cd "d:\PROJECT TA\rice leaf diseases dataset"
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python api_server.py
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```
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### Start Flutter
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```bash
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cd d:\PROJECT TA\mobile_TA\padi_app
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flutter run
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```
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### Test Endpoints
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```bash
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# Connection test
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curl http://127.0.0.1:8000/api/classification/test
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# Test classification
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curl -X POST http://127.0.0.1:8000/api/classification/classify \
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-F "image=@image.jpg"
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# List classifications
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curl http://127.0.0.1:8000/api/classifications
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# Get stats
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curl http://127.0.0.1:8000/api/classifications/stats/summary
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```
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### Database Commands
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```bash
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php artisan tinker
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# Count records
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>>> DB::table('classifications')->count()
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# Get latest
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>>> DB::table('classifications')->latest()->first()
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# Clear table
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>>> DB::table('classifications')->truncate()
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```
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---
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## ✅ Final Checklist Before Testing
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```
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□ All three server terminals ready
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□ Laravel routes configured (/api.php updated)
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□ Database migrations executed (table created)
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□ Flutter dependencies installed (pubspec updated)
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□ Python dependencies installed (requirements.txt)
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□ Model file exists in dataset folder
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□ Storage directory writable (chmod 775)
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□ API URLs configured correctly
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□ Python: 127.0.0.1:5000
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□ Laravel: 127.0.0.1:8000
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□ Mobile: 10.0.2.2:8000 (emulator) or 192.168.x.x:8000 (device)
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□ Database credentials in .env
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□ No port conflicts (5000, 8000)
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□ Firewall allows connections
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□ Sample rice leaf images available for testing
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```
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---
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## 🎯 Success Metrics
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| Metric | Target | Status |
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|--------|--------|--------|
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| API Response Time | < 2 seconds | ⏳ To test |
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| Classification Accuracy | 85%+ | ✅ Per model |
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| Database Save Success | 100% | ⏳ To test |
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| Mobile Responsiveness | < 5 seconds | ⏳ To test |
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| Error Handling | Graceful | ✅ Implemented |
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---
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## 📅 Estimated Timeline
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- **Server Startup:** 2-3 minutes
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- **Backend Testing:** 10-15 minutes
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- **Mobile Testing:** 5-10 minutes
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- **Full Integration Test:** 10-15 minutes
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- **Total:** ~30-45 minutes
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---
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## 🤝 Need Help?
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### If servers won't start:
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1. Check ports not in use: `netstat -an | findstr :5000` or `:8000`
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2. Check dependencies installed
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3. Check database credentials in .env
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4. Reset migrations: `php artisan migrate:fresh`
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### If classification fails:
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1. Verify Python API running: `curl http://127.0.0.1:5000/`
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2. Test with Postman first
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3. Check model file in dataset folder
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4. Verify image file valid
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### If mobile app crashes:
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1. Check API URL correct for your environment
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2. Run `flutter clean` then `flutter pub get`
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3. Check logs: `flutter logs`
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4. Rebuild app: `flutter run -v`
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---
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**Documents Created:**
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- 📄 [TESTING_GUIDE.md](../TESTING_GUIDE.md) - Detailed test procedures
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- 📄 [MODEL_API_SETUP.md](./MODEL_API_SETUP.md) - API documentation
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- 📄 [PHASE5_SUMMARY.md](./PHASE5_SUMMARY.md) - Phase 5 summary
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**Status:** ✅ Ready for Testing Phase
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