Enhance the posture monitoring system by integrating a machine learning model to classify posture more accurately based on sensor data patterns.
- Collect labeled dataset from MPU6050 and flex sensor readings.
- Train a lightweight ML model for classification (TinyML / Edge Impulse).
- Deploy the model on ESP32 for real-time inference.
- Compare with current threshold-based approach.
Enhance the posture monitoring system by integrating a machine learning model to classify posture more accurately based on sensor data patterns.