An AI-powered focus and fatigue detection system using computer vision and deep learning.
- Real-time face and eye tracking using Dlib or Mediapipe
- Eye Aspect Ratio (EAR) for fatigue detection
- Audio alert system when signs of drowsiness are detected
- Python, OpenCV, Dlib/Mediapipe
- PyTorch/TensorFlow (for future ML model)
- Tkinter or Streamlit (optional UI)
- Will also include basic productivity features like pomodero timer.
- Fancy digital clock to determine total productivity in a day.