International Journal of Scientific Research and Engineering Development

Communication between hearing-impaired individuals and the general public is often difficult due to the difference between spoken language and sign language. This project presents an AI-based Voice-to-Sign Language system that converts spoken voice into sign language in real time. The system uses Automatic Speech Recognition (ASR) to convert speech into text and Natural Language Processing (NLP) to understand the meaning of the sentence. The processed text is then translated into sign language and displayed through animated gestures or avatars. This system helps reduce communication barriers and promotes inclusive communication in education, healthcare, workplaces, and public services. It is designed to be simple, user-friendly, and accessible for everyday use.

Asvika P R, J. Savitha,"AI-Based Voice-to-Sign Language Translation System" International Journal of Scientific Research and Engineering Development, V9(2): Page(408-414) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.