Sign Sync: Real Time Sign Language to Speech Translation
Vaishnavi V
Sign Sync is a platform designed to translate sign language into text in real-time. By utilizing Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) algorithms, the project bridges communication gaps for the hearing-impaired, moving beyond static libraries to dynamic, inclusive interaction. The system captures video input, processes hand and body gestures through a deep learning pipeline, and outputs corresponding textual sentences with minimal latency. This research demonstrates a significant step towards accessible technology that fosters seamless communication in educational, professional, and social contexts.