Volume Control System Using Hand Gestures

This project is a Python application that allows real-time control of the system volume using hand gestures. It leverages computer vision techniques with OpenCV and MediaPipe to detect and track hand landmarks for intuitive volume adjustment.

Features

• Real-time hand gesture recognition to control system volume
• Custom HandTrackingModule for accurate detection of hand landmarks
• Calculates distance between thumba and index fingers to adjust volume smoothly
• Efficient video processing for seamless interaction

Technologies Used

• Python
• OpenCV (for video capture and image processing)
• MediaPipe (for hand landmark detection)
• PyCaw (Python Core Audio Windows Library for system volume control)