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SilentSpeak: AI-Powered Real-Time Sign Language Interpreter

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SilentSpeak: AI-Powered Real-Time Sign Language Interpreter


Shamim Ansari | MD. Firdous



Shamim Ansari | MD. Firdous "SilentSpeak: AI-Powered Real-Time Sign Language Interpreter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-3, June 2025, pp.762-766, URL: https://www.ijtsrd.com/papers/ijtsrd81066.pdf

This study presents a comprehensive survey of existing hand gesture recognition systems, their advantages and disadvantages, and their applications in various environments. Hand gesture recognition has been a topic of intense interest among researchers in Human-Computer Interaction (HCI) because of the prospects it holds for delivering more natural and intuitive user interfaces. Hand detection and segmentation are key steps involved in gesture recognition since they form the initial stages in movement identification and analysis. These operations can be performed effectively with programming languages like Python, which boasts extensive sets of libraries and tools for computer vision and machine learning. An exemplary application of this technology can be found in the SilentSpeak project, which is an innovative software program aiming to enable communication for those who are nonverbal or speech-impaired. SilentSpeak is an instant sign language interpreter, employing sophisticated computer vision and machine learning techniques to identify, classify, and interpret sign language signs, followed by translating them into written or spoken words. As well as bridging the communication divide between the hearing population and the nonverbal, this ability fosters an inclusive social infrastructure. SilentSpeak's technology architecture is multi-layered. HTML5, CSS, and JavaScript are used to implement the user interface. It is dynamic and interactive. The system's core is a machine learning model that does gesture recognition and is interfaced with the front-end via the Flask web framework in Python. Such a design allows the integration of the model and user interface to be simple, thereby enabling real-time gesture recognition and translation.

Hand Gesture Recognition, Human -Computer Interaction (HCI), Computer Vision, Machine Learning, SilentSpeak, Sign Language Interpreter, Real - Time Translation, Flask Framework


IJTSRD81066
Volume-9 | Issue-3, June 2025
762-766
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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