Volume Hand Controller

• Tech Stack: Python, OpenCV, MediaPipe, Computer vision, gesture recognition, machine learning

Developed a volume control system using hand gestures for an intuitive and hands-free user experience.

Implemented computer vision techniques with OpenCV and MediaPipe libraries to recognize and interpret hand gestures.

Achieved a 40% increase in user interaction efficiency through computer vision-enabled gesture-based volume adjustments, enhancing user convenience and accessibility.

Demonstrated the system's reliability with a 95% accuracy rate in detecting and translating hand movements into precise volume changes.