The project presents a Sign Language Translator using deep learning that helps hearing- and speech-impaired people communicate easily with others. It uses CNN and LSTM models to recognize hand gestures from a camera and convert them into text or speech in real time. The system is cost-effective, accurate (around 95–97%), and does not require special hardware, making communication more accessible and inclusive.
T et al. (Sat,) studied this question.