IJRTI
International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21574

Article Published : 8528

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Published Paper Details
Paper Title: Sign Language Translator using Machine Learning
Authors Name: Mr. Rushikesh Khilare , Mr. Aaryan Chengaloor , Mr. Satyajit J. Pokale
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IJRTI_207198
Published Paper Id: IJRTI2511007
Published In: Volume 10 Issue 11, November-2025
DOI:
Abstract: Sign language is one of the oldest and most natural forms of communication, yet most people do not understand it, making it difficult for deaf and mute individuals to communicate. This research proposes a vision-based machine learning model for real-time sign language translation using convolutional and recurrent neural networks. The system recognizes hand gestures representing the American Sign Language (ASL) alphabet with an achieved accuracy of 98%. The model employs image preprocessing, CNN-based feature extraction, and RNN-based temporal analysis to recognize dynamic gestures effectively. This paper highlights the implementation, results, and future improvements for improving accessibility and inclusivity.
Keywords: Sign Language, Machine Learning, CNN, RNN, ASL, Gesture Recognition
Cite Article: "Sign Language Translator using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a51-a54, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511007.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2511007
Registration ID:207198
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a51-a54
Country: Pune, MAHARASHTRA, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511007
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511007
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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