β Hand Gesture Recognition System A simple project to explore Computer Vision and ML basics π
Real-time hand gesture detection using Computer Vision & Machine Learning
The Hand Gesture Recognition System is a real-time computer vision project that detects and recognizes hand gestures using a webcam.
This project uses MediaPipe for hand landmark detection and a Machine Learning model to classify gestures based on hand coordinates.
It is designed as a beginner-friendly ML + Computer Vision project and demonstrates how gesture-based interaction can be implemented in real-time.