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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM34673
Volume:
8 |
5 |
May 2024
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.
Sign language serves as the primary mode of communication for millions of individuals worldwide with hearing impairments. Despite its importance, the availability of sign language interpretation services remains limited, contributing to significant communication barriers. To address this challenge, we propose the development of a web application leveraging state-of-the-art deep learning techniques for real-time sign language detection and translation.
KEYWORDS
Publication Date
5/25/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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