All Country Sign Language Recognition System to Help Deaf and Mute People

Jami Sai Raju; Nahak Kamal Kumar; Uppala Hemanth Kumar; Guntuboina Ravi Vijay Charith; A. Subhalaxmi1

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Publication Date: 2024/04/29

Abstract: With the use of contemporary technology, the "All Country Sign Language Recognition System to Help Deaf and Mute People" project seeks to provide a strong solution that will close communication barriers between the deaf and mute population and the general public. The project aims to use machine learning techniques and computer vision techniques to properly understand and convert sign language motions into generally used languages, with a concentration on Indian sign language. Deaf and mute people will benefit from increased accessibility and inclusion in a variety of spheres of everyday life, including social interactions, work, and education, by virtue of the implementation of this system. The initiative helps to create a more inclusive society in addition to addressing the urgent demand for efficient communication tools for the deaf and mute communities.In this people can interact using different country sign languages like ISL, ASL, BSL, etc.

Keywords: All Country Sign Language Recognition System, Deaf and Mute Communication, Computer Vision Techniques, Machine Learning Algorithms, Accessibility and Inclusivity, Communication Technology, Education and Employment, Social Interaction, Inclusive Society, Modern Communication Solutions.

DOI: https://doi.org/10.38124/ijisrt/IJISRT24APR2026

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24APR2026.pdf

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