Sign2Sign
AI-powered hand gesture recognition system bridging communication gaps for deaf and mute individuals
Sign Language Recognition System
Real-time ML-powered communication tool
Problem
Deaf and mute individuals face significant communication barriers when interacting with people who don't understand sign language, limiting their social and professional opportunities.
Solution
Developed a Python-based machine learning model using NumPy that recognizes and translates hand gestures in real-time, enabling seamless communication between sign language users and others.
Impact
Provides an accessible, user-friendly communication tool that empowers deaf and mute individuals to interact more freely, enhancing their quality of life and independence.
AI-Powered Recognition
Advanced machine learning algorithms for accurate hand gesture detection
Real-Time Processing
Instant translation of sign language gestures with minimal latency
Accessibility Focus
User-friendly interface designed for seamless communication