Indian Sign Language to Text/Speech translation using YOLO Algorithm

By utilizing cutting-edge computer vision and natural language processing techniques, the Sign Language Detection system is a creative initiative that helps people who use sign language communicate with others. This real-time solution recognizes and decodes hand motions that constitute the alphabet of sign language using a YOLO-based deep learning model. In order to facilitate smooth communication, the system converts detected motions into text, processes camera video input, and outputs voice commands. Furthermore, bidirectional interaction is supported by the system, which translates vocal inputs into sign language motions. It has a dynamic video feed, real-time annotation, idle-based word processing, and an intuitive UI thanks to Streamlit. For the hearing and speech-impaired groups, this project is a step toward increasing accessibility and inclusivity in communication.