GRENZE International Journal of Engineering and Technology
Vol. 11
(2025), Issue 1
Fostering Inclusivity: ML-Driven Voice to Sign Language Translation
Authors
Ananya, Bipin Krishna G. A, Manohar B N, Navaneeth Y, T M Kiran Kumar
Abstract
Social inclusivity is essential for everyone, but communication can be challenging for Deaf and Hard of Hearing individuals. Sign language bridges this gap, enabling them to express ideas, thoughts, and experiences without sound. Our project aims to develop a Machine Learning-based Voice to Sign Language Translation system to make communication smoother in various fields like education, healthcare, and customer service. We're using diverse datasets and advanced technology to create a real-time translation app that’s easy to use. With a clear interface and support for multiple sign languages, this app will help break down communication barriers and promote inclusivity worldwide. Our goal is to make this technology accessible, scalable, and adaptable for everyone.
Pages:
344 - 349