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Silent Signals: AI Power Sign Language Recognization

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Silent Signals: AI Power Sign Language Recognization


Pratik Kapale | Piyush Kuthe | Kunal Kohale | Pranay Bawanthade | Prof. Suman Sengupta



Pratik Kapale | Piyush Kuthe | Kunal Kohale | Pranay Bawanthade | Prof. Suman Sengupta "Silent Signals: AI Power Sign Language Recognization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-5, October 2024, pp.321-328, URL: https://www.ijtsrd.com/papers/ijtsrd69366.pdf

Sign language recognition plays a crucial role in bridging the communication gap between the hearing-impaired community and the rest of society. This project focuses on developing a robust system that can accurately recognize and interpret sign language gestures into corresponding text or speech, leveraging computer vision and machine learning techniques. By utilizing deep learning models, particularly convolutional neural networks (CNNs) for image classification and recurrent neural networks (RNNs) for sequential gesture recognition, the system aims to achieve real-time performance. The proposed system uses a camera to capture hand gestures and processes them to identify individual signs and dynamic sequences, handling variations in lighting, backgrounds, and individual signers. Our model is trained on a diverse dataset of sign language gestures to ensure its adaptability across different users and environments. The ultimate goal of the project is to create a reliable tool that enhances accessibility and fosters more inclusive communication for the deaf and hard-of-hearing communities.

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IJTSRD69366
Volume-8 | Issue-5, October 2024
321-328
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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