Empowering speech-impaired individuals through real-time hand gesture recognition and AI-powered voice synthesis
Speech-impaired individuals face significant barriers in daily communication. Traditional methods like sign language are not universally understood, and typing is slow and cumbersome.
Our Solution: A real-time gesture recognition system that converts hand gestures into clear, natural speech using cutting-edge computer vision and AI.
Lightning-fast gesture recognition using webcam with sub-second latency for natural conversations.
Advanced machine learning models trained on thousands of gesture samples for maximum accuracy.
Crystal-clear text-to-speech synthesis with multiple voice options and natural intonation.
Fully responsive design works perfectly on smartphones, tablets, and desktops.
Easily train new gestures and customize vocabulary for personal communication needs.
All processing happens locally in the browser - no data leaves your device.
Webcam captures hand gestures in real-time at 30fps
MediaPipe processes video feed to detect hand landmarks
Machine learning model classifies gesture with 95% accuracy
Text-to-speech engine generates natural speech instantly
Position your hand in frame and hold the gesture for 1 second.
Works best in good lighting!
Semantic markup
Modern styling
Core logic
Camera access
Hand tracking
Text-to-speech
Computer Vision & ML Expert
UI/UX Specialist
Accessibility Expert
Hackathon Coordinator