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AI Virtual Mouse & Media Control System

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.

Features

  • 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

Tech Stack

  • Python
  • OpenCV
  • MediaPipe
  • PyAutoGUI
  • Gesture Recognition (AI)

Objective

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.

System Requirements

  • Python 3.7+
  • Webcam
  • Windows OS
  • Minimum 4GB RAM

Output

Users can fully control the system cursor and multimedia platforms using only hand gestures captured through a webcam.

Future Enhancements

  • Custom gesture mapping
  • Voice command integration
  • Multi-hand support
  • Mobile compatibility

Author

Shreyansh Pandey B.Tech CSE, BIT Durg

About

To create an alternative input method for controlling a computer, typically without the need for a physical mouse or other pointing devices.

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