Abstract

The development of a Virtual Sign Language Translator represents a significant advancement in facilitating communication between hearing and non-hearing individuals, particularly in educational and business settings. This initiative aims to bridge the communication gap by providing real-time translation of sign language into text or speech, enhancing accessibility and inclusivity. The system utilizes advanced technologies such as computer vision, machine learning, and natural language processing to accurately interpret sign language gestures. Users can interact through intuitive interfaces, enabling seamless conversion of sign language into readable or audible formats. By integrating this translator into classrooms, universities, institutions, and business environments, we can promote equal participation and understanding, ensuring that information is accessible to all, regardless of hearing ability.