AI-Based Real-Time Sign Language Translator to Text and Audio Using Computer Vision and Deep Learning
Author : Dr. K Karuppasamy, Mothilalnehru M, Bevis Suruthin M, Navin G and Sabari K
Abstract :
This paper presents an AI-based real-time sign language translation system that converts hand gestures into text and audio using computer vision and deep learning techniques. The system captures live gestures through a camera, processes them using trained models, and generates readable text and speech output. The proposed solution is cost-effective and easy to deploy without specialized hardware. It can be effectively used in education, healthcare, and public service environments. The system enhances accessibility, promotes inclusivity, and supports independent communication for hearing-impaired individuals.
Keywords :
Sign Language Recognition, Computer Vision, Deep Learning, Real-Time Translation, Gesture-to-Speech.
