SignSpeaks
Shravani Kumbhar, Nandini Babar, Ayush Patil, Prof.M.A Pardesi · 2025
Communication barriers between the deaf and hearing communities pose significant challenges in daily interactions. "Sign Speaks" is a web-based application designed to bridge this gap by converting sign language gestures into text in real time. Utilizing computer vision and machine learning techniques, the system captures hand movements through a webcam, processes them using a trained model, and translates the gestures into meaningful text displayed on the screen. This project aims to enhance accessibility for individuals with hearing and speech impairments by providing an intuitive and efficient communication tool. The proposed solution can be extended to support multiple sign languages and integrated into various platforms, including educational and professional settings. By leveraging artificial intelligence, "Sign Speaks" contributes to a more inclusive society, ensuring seamless interaction between sign language users and non-signers.