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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53931
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The Gesture – to – text Translation model , which can recognize fingerspelling based hand gestures in order to form a complete word by combining each gesture.Gestures are the nonverbally exchanged messages and these gestures are understood with vision.This nonverbal communication of deaf and dumb people is called sign language.It aims to bridge the communication gap for deaf and mute individuals by translating hand gestures into readable text (and optionally speech), allowing them to communicate with non-signers effectively.It is a web-based application that leverages advanced computer vision and machine learning techniques to provide real-time American Sign Language (ASL) recognition and learning capabilities. This innovative system addresses the critical need for accessible communication tools that bridge the gap between deaf and hearing communities through intelligent sign language interpretation. Users can practice ASL alphabet, numbers, and common phrases while receiving immediate feedback and pronunciation assistance. This supports sign-to-text and text-to-sign functionalities, allowing users to both express and receive messages efficiently
KEYWORDS
Publication Date
11/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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