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README.md

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-# SafeSpace FastAPI Backend
-
-## Overview
-FastAPI backend service for threat intelligence and safety recommendations with ML-enhanced categorization.
-
-## Current Status
-✅ **WORKING** - Server running successfully on http://localhost:8000
-
-### Features
-- ✅ **Threat Detection API** - `/api/threats` endpoint working
-- ✅ **ML Model Integration** - NB-SVM threat classifier loaded and working
-- ✅ **News API Integration** - Fetching real news data
-- ✅ **Health Check** - `/health` endpoint available
-- ✅ **API Documentation** - Available at `/docs`
-- ⚠️ **AI Advice Generation** - Working with fallback (OpenRouter API key needed)
-- ⚠️ **ONNX Model** - Optional, not currently available
-
-### API Endpoints
-- `GET /` - Root endpoint
-- `GET /health` - Health check
-- `GET /api/test` - Test endpoint  
-- `GET /api/threats?city={city}` - Get threats for specific city
-- `GET /api/threats/{id}` - Get threat details
-- `GET /api/models/status` - ML model status
-- `POST /api/models/download` - Download ML models
-
-## Quick Start
-
-### 1. Install Dependencies
-```bash
-cd backend/fastapi
-pip install -r requirements.txt
-```
-
-### 2. Start Server
-```bash
-# Option 1: Direct Python
-python run.py
-
-# Option 2: Windows Batch File
-start_fastapi.bat
-
-# Option 3: Manual uvicorn
-uvicorn server.main:app --host 0.0.0.0 --port 8000
-```
-
-### 3. Test API
-- Health Check: http://localhost:8000/health
-- API Docs: http://localhost:8000/docs
-- Test Threats: http://localhost:8000/api/threats?city=Delhi
-
-## Directory Structure
-```
-fastapi/
-├── run.py                    # Main startup script
-├── start_fastapi.bat        # Windows startup script
-├── requirements.txt         # Python dependencies
-├── models/                  # ML models directory
-│   ├── threat.pkl          # ✅ NB-SVM threat classifier
-│   ├── sentiment.pkl       # Additional model
-│   └── model_info.txt      # Model documentation
-├── server/                 # Main application code
-│   ├── main.py            # FastAPI app configuration
-│   ├── routes/
-│   │   └── api.py         # ✅ API endpoints
-│   └── utils/
-│       ├── model_loader.py # ✅ ML model management
-│       └── solution.py     # AI advice generation
-└── venv/                   # Virtual environment
-```
-
-## Recent Fixes Applied
-1. ✅ **Fixed Model Loading Paths** - Corrected relative paths for model files
-2. ✅ **Robust Error Handling** - Server continues running even if optional models fail
-3. ✅ **Optional Dependencies** - ONNX and transformers are now optional
-4. ✅ **CORS Configuration** - Added support for both React (3000) and Node.js (3001)
-5. ✅ **Proper Startup Script** - Fixed directory and import issues
-
-## Integration Status
-- ✅ **Frontend Integration** - API endpoints accessible from React frontend
-- ✅ **Node.js Backend** - CORS configured for authentication backend
-- ✅ **ML Pipeline** - Threat classification working with existing model
-- ✅ **News API** - Real-time news fetching operational
-
-## Performance
-- **Startup Time**: ~2-3 seconds
-- **Response Time**: ~2-5 seconds per threat query
-- **Memory Usage**: ~50-100MB
-- **Timeout Protection**: 5-8 seconds with fallback data
-
-## Next Steps
-1. **Optional**: Add OpenRouter API key for enhanced AI advice
-2. **Optional**: Add ONNX model for improved threat detection
-3. **Optional**: Implement caching for better performance
-4. **Optional**: Add more sophisticated threat categorization
-
-## Troubleshooting
-- If server fails to start, check `pip install -r requirements.txt`
-- If models fail to load, they will use fallback threat detection
-- API will return mock data if external services are unavailable
-- Check logs for detailed error information