English Text to Sign Language Translation Using Python and CNN

Manisha More, Jainil Bhanushali, Aditya Bhandari, Aadi Bhangdiya, Yash Bhandari, Yogini Bhamare

2025

Abstract

One of the most essential components of human existence is communication. It helps us communicate our ideas and feelings, which strengthens our bonds with other people. We propose our project, which focusses primarily on the deaf and mute community, with this important factor in mind. Any sign language, meanwhile, is a complicated language that confronts many difficulties nowadays, such as a lack of trained interpreters and low general public understanding. We use state-of-the-art technology, namely Convolutional Neural Networks (CNNs) and Natural Language Processing (NLPs), to decode Sign Language in order to solve this problem. This cutting-edge device helps hearing and non-hearing people communicate with each other. Our system takes user-provided text and converts it into matching sign language films that are kept in a database curated by the authors, enhancing accessibility and inclusivity for the deaf community.

Paper Citation

in Harvard Style

More M., Bhanushali J., Bhandari A., Bhangdiya A., Bhandari Y. and Bhamare Y. (2025). English Text to Sign Language Translation Using Python and CNN. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 189-194. DOI: 10.5220/0013879900004919

in Bibtex Style

@conference{icrdicct`2525,
author={Manisha More and Jainil Bhanushali and Aditya Bhandari and Aadi Bhangdiya and Yash Bhandari and Yogini Bhamare},
title={English Text to Sign Language Translation Using Python and CNN},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={189-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013879900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - English Text to Sign Language Translation Using Python and CNN
SN - 978-989-758-777-1
AU - More M.
AU - Bhanushali J.
AU - Bhandari A.
AU - Bhangdiya A.
AU - Bhandari Y.
AU - Bhamare Y.
PY - 2025
SP - 189
EP - 194
DO - 10.5220/0013879900004919
PB - SciTePress