feat: Implement hardware, pose, and stream services for WiFi-DensePose API

- Added HardwareService for managing router interfaces, data collection, and monitoring.
- Introduced PoseService for processing CSI data and estimating poses using neural networks.
- Created StreamService for real-time data streaming via WebSocket connections.
- Implemented initialization, start, stop, and status retrieval methods for each service.
- Added data processing, error handling, and statistics tracking across services.
- Integrated mock data generation for development and testing purposes.

requirements.txt

@@ -17,6 +17,9 @@ fastapi>=0.95.0
 uvicorn>=0.20.0
 websockets>=10.4
 pydantic>=1.10.0
+python-jose[cryptography]>=3.3.0
+python-multipart>=0.0.6
+passlib[bcrypt]>=1.7.4
 
 # Hardware interface dependencies
 asyncio-mqtt>=0.11.0