What question did this study set out to answer?

The study aims to develop an AI-based translator to bridge communication gaps for hearing-impaired users.

January 24, 2026Open Access

AI Sign Language Translator

Key Points

The study aims to develop an AI-based translator to bridge communication gaps for hearing-impaired users.
Developed an AI system using computer vision and machine learning techniques.
Recognized hand gestures through real-time processing.
Converted gestures into text or speech outputs.
Demonstrated successful recognition of hand gestures with high accuracy.
Showed improvements in communication speed in real-life interactions.
Highlighted positive user experiences in social and educational contexts.

Abstract

This paper presents an AI-based Sign Language Translator developed to reduce the communication gap between hearing-impaired individuals and non-sign language users. The system utilizes computer vision and machine learning techniques to recognize hand gestures and convert them into meaningful text or speech output in real time. The proposed model aims to improve accessibility, inclusivity, and ease of communication in daily interactions. The solution demonstrates the potential of artificial intelligence in assistive technologies and highlights its practical applications in social and educational environments.

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