An AI-powered gesture recognition system that allows users to control the mouse cursor and manage media playback using hand movements. This project eliminates the need for physical input devices and provides a touch-free, intuitive interaction experience.
- Mouse movement using hand tracking
- Left & Right click using gestures
- Scroll control via finger motion
- Media control using gestures:
- Play / Pause
- Volume Up / Down
- Next / Previous
- Works with:
- YouTube
- VLC Media Player
- Spotify
- All browser-based media platforms
- Real-time performance with high accuracy
- Python
- OpenCV
- MediaPipe
- PyAutoGUI
- Gesture Recognition (AI)
To create a smart Human-Computer Interaction system that replaces traditional mouse and keyboard controls with AI-based hand gestures for both navigation and media control.
- Python 3.7+
- Webcam
- Windows OS
- Minimum 4GB RAM
Users can fully control the system cursor and multimedia platforms using only hand gestures captured through a webcam.
- Custom gesture mapping
- Voice command integration
- Multi-hand support
- Mobile compatibility
Shreyansh Pandey B.Tech CSE, BIT Durg