Featured Project
Real-world AI/ML solution solving communication barriers with measurable impact
Sign2Sign
An intelligent hand gesture recognition system that bridges communication gaps for deaf and mute individuals through real-time ML-powered sign language prediction.
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.