Bidirectional Sign Language Assistant with MediaPipe Integration

The research introduces a bidirectional sign language translation system to facilitate direct, real-time communication between the deaf and hearing communities. The system, accessible through a web platform, dynamically translates between English and American Sign Language (ASL), overcoming limitations in existing solutions. It employs machine learning, and user-friendly design to capture and convert sign language gestures in real-time, eliminating the need for intermediaries. Additional features include video calls, animated avatars, and end-to-end encryption. This paper details the methodology, functionality, and design, highlighting the potential for improved inclusivity in education, personal communication, and accessibility.