System Volume Control with Hand Gestures

Developed a Python-based computer vision application that allows users to control their system volume using hand gestures captured through a webcam. The application tracks the user’s hand in real time and adjusts the volume based on the distance between the thumb and index finger.

When the distance between the fingers increases, the system volume increases. When the distance decreases, the volume is lowered. This creates an intuitive gesture-based control system without requiring physical keyboard or mouse input.

The project uses OpenCV for real-time video processing and MediaPipe for hand landmark detection, enabling accurate tracking of finger positions and smooth gesture recognition.