Year: 2025
Type: article
Abstract: In today's fast-paced world, communication barriers between deaf and hard-of-hearing individuals and the hearing community remain a significant challenge.Sign language, such as Sign Language (SL), plays a vital role in bridging this communication gap, but its limited familiarity among the general population poses ongoing difficulties.This project presents an innovative AI-based solution: an Audio to Sign Language Translator.The tool utilizes Natural Language Processing (NLP) techniques, speech recognition, and dynamic 3D animations to translate English audio-visual content into ISL gestures in real time.Built using Python, Django, NLP libraries, and Blender for animation, the system aims to offer a user-friendly, cost-effective, and adaptable solution for greater inclusivity.The translator is designed for deployment across web and mobile platforms to maximize accessibility.Testing on real-world datasets and scenarios demonstrates that the system can significantly improve communication for the hearing-impaired community, offering both accuracy and scalability for practical use.
Authors: DR. B. Rebecca, Nishith Bhati, Mohammed Faisal
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: bronze
OpenAlex ID: W4410339223