Hand Gesture-Driven Volume System lets users adjust their computer’s volume using hand gestures, providing real-time visual feedback on a web interface. It combines gesture tracking, audio control, and live updates to create an intuitive and interactive experience.
The Hand Gesture Recognition System project designed to allow users to interact with their computer using hand gestures. The system utilizes a webcam to capture hand gestures and interprets them to control various functions, such as navigating through videos or controlling applications without touching the computer.
Simple hand landmarks detection and save images with "MediaPipe" and "Opencv"
"🏋️♂️ Real-time exercise form tracker that detects squats & push-ups using MediaPipe + OpenCV, counts reps, and gives instant feedback 💪
SignWave is a real‑time sign language alphabet recognition system that uses MediaPipe hand keypoints and an LSTM deep learning model to accurately classify gestures via webcam—no facial tracking or wearables required.
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