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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46610

SIGNBRIDGE

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46610

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46610

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ND1

Nandhini D 1

KKS2

Krishna Kumar S 2

AS3

Archana S 3

SA4

Subasri A 4

SR5

Suriyavel R 5

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Abstract

SignBridgeAI is an AI-powered, multimodal platform designed to bridge communication barriers between deaf, mute, and hearing individuals through Indian Sign Language (ISL). The system integrates real-time gesture recognition leveraging MediaPipe and deep neural architectures (CNN and LSTM) for precise ISL sign classification. Speech-to-text conversion via Whisper API and the generation of 3D animated avatars using Unity further facilitate accessible two-way communication. Supporting a comprehensive dataset of 293 ISL gestures with customizable features, SignBridgeAI enables robust interaction suited for diverse user needs. Experimental evaluation demonstrates high recognition accuracy (97.25% for signs, 95% for speech-to-text) and low latency performance, validating its effectiveness for real-time use. The solution advances accessibility and social inclusion for the deaf community in India, and its scalable, device-agnostic design positions it as a practical assistive technology for broader societal integration. ·

KEYWORDS

Indian Sign Language (ISL) Sign Language Recognition AI-Powered Communication Gesture Recognition Deep Learning Convolutional Neural Networks (CNN) Long Short-Term Memory (LSTM) Speech-to-Text Conversion 3D Animated Avatars Assistive Technology Real-Time Translation Multimodal Communication Accessibility in Technology Inclusive Communication Human-Computer Interaction

Cite This Article

Nandhini D 1, Krishna Kumar S 2, Archana S 3, Subasri A 4, Suriyavel R 5, "SIGNBRIDGE," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46610

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Publication Date

10/21/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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The authors declare no conflict of interest related to this research work.

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