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.

src/config/settings.py

@@ -97,6 +97,8 @@ class Settings(BaseSettings):
     enable_websockets: bool = Field(default=True, description="Enable WebSocket support")
     enable_historical_data: bool = Field(default=True, description="Enable historical data storage")
     enable_real_time_processing: bool = Field(default=True, description="Enable real-time processing")
+    cors_enabled: bool = Field(default=True, description="Enable CORS middleware")
+    cors_allow_credentials: bool = Field(default=True, description="Allow credentials in CORS")
     
     # Development settings
     mock_hardware: bool = Field(default=False, description="Use mock hardware for development")