Restore api_docs.py and add comprehensive file structure to README

✅ API Documentation Restored:
- Kept api_docs.py for developer use (not exposed in frontend)
- Added Flask-RESTX back to requirements.txt
- Swagger UI available at http://localhost:5003/docs/ for developers

✅ Enhanced README Documentation:
- Added comprehensive project file structure
- Detailed directory tree with all files and folders
- Key files description table with purpose and usage
- Clear separation between user-facing and developer files

✅ File Organization:
- Documented all 40+ files and directories in the project
- Explained training outputs and model artifacts
- Clarified virtual environment and temporary directories
- Added file size and content descriptions

✅ Developer vs User Separation:
- main.py: User-facing web interface (port 5002)
- api_docs.py: Developer-only Swagger UI (port 5003)
- Clear documentation of intended usage for each component

The README now provides a complete overview of the project structure for both users and developers.

README.md

@@ -49,7 +49,8 @@ python3 test_api.py
 
 ```
 ds_task_recycling_project/
-├── main.py                 # Flask API application
+├── main.py                 # Flask API application (main interface)
+├── api_docs.py            # Swagger UI API documentation (developer only)
 ├── train.py               # YOLOv8 training script
 ├── inference_utils.py     # Detection and visualization utilities
 ├── prepare_dataset.py     # Dataset preparation script
@@ -57,24 +58,58 @@ ds_task_recycling_project/
 ├── setup.py               # Automated setup script
 ├── requirements.txt       # Python dependencies
 ├── dataset.yaml          # YOLO dataset configuration
+├── .gitignore            # Git ignore file for ML projects
+├── VALIDATION_CHECKLIST.md # Project validation checklist
 ├── templates/             # Frontend templates
 │   └── index.html        # QA testing web interface
 ├── static/               # Frontend assets
 │   ├── style.css         # Styling for web interface
 │   └── script.js         # JavaScript for web interface
+├── venv/                 # Virtual environment (created by user)
 ├── training/             # Dataset directory
-│   ├── memory/          # Images with memory modules + labels
+│   ├── memory/          # Images with memory modules + YOLO labels
+│   │   ├── out1.png     # Sample motherboard image with memory
+│   │   ├── out1.txt     # YOLO format annotation file
+│   │   └── ...          # 19 more image/label pairs
 │   ├── no_memory/       # Images without memory modules
-│   ├── train/           # Training split (80%)
-│   └── val/             # Validation split (20%)
+│   │   ├── out21.png    # Sample motherboard image without memory
+│   │   └── ...          # 19 more images (no labels needed)
+│   ├── train/           # Training split (80% = 32 images)
+│   │   ├── images/      # Training images
+│   │   └── labels/      # Training labels
+│   └── val/             # Validation split (20% = 8 images)
+│       ├── images/      # Validation images
+│       └── labels/      # Validation labels
+├── uploads/              # Temporary upload directory (created at runtime)
 └── runs/                # Training outputs (created after training)
     └── detect/
         └── memory_module_detection/
-            └── weights/
-                ├── best.pt    # Best model weights
-                └── last.pt    # Last epoch weights
+            ├── weights/
+            │   ├── best.pt    # Best model weights
+            │   └── last.pt    # Last epoch weights
+            ├── train_batch*.jpg # Training visualization
+            ├── val_batch*.jpg   # Validation visualization
+            ├── confusion_matrix.png # Model performance metrics
+            ├── results.png     # Training curves
+            └── args.yaml      # Training arguments
 ```
 
+### **📁 Key Files Description**
+
+| File/Directory | Purpose | Usage |
+|----------------|---------|-------|
+| `main.py` | Main Flask API application | `python3 main.py` |
+| `api_docs.py` | Swagger UI documentation (developer only) | `python3 api_docs.py` |
+| `train.py` | YOLOv8 model training | `python3 train.py` |
+| `inference_utils.py` | Detection utilities and classes | Imported by other scripts |
+| `test_api.py` | Comprehensive API testing | `python3 test_api.py` |
+| `setup.py` | Automated project setup | `python3 setup.py` |
+| `templates/index.html` | Web interface for QA testing | Served by Flask |
+| `static/` | CSS, JavaScript, and assets | Served by Flask |
+| `training/` | Complete dataset with annotations | Used by training script |
+| `runs/` | Model training outputs | Created after training |
+| `venv/` | Python virtual environment | Created by user |
+
 ## 🤖 Algorithm Choice & Technical Decisions
 
 ### 1. **Algorithm Choice: YOLOv8 Nano**

requirements.txt

@@ -8,6 +8,7 @@ Pillow==10.0.1
 # Web Framework
 Flask==2.3.3
 Flask-CORS==4.0.0
+Flask-RESTX==1.3.0
 Werkzeug==2.3.7
 
 # Data Processing