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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM56926
Volume:
10 |
2 |
Feb 2026
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.
With the rapid growth of digital learning and inclusive education, there is a strong need for an interactive and adaptive sign language learning platform. Existing Platform often depend on static videos or text-based lessons, lacking real-time corrective feedback for Deaf and mute learners. This project presents SignIQ, a hyper-personalized sign language learning Platform that integrates MediaPipe for hand landmark detection and YOLO-based deep learning for accurate gesture recognition. The system analyzes user-performed signs, provides instant feedback, and adapts lessons based on performance. Built on a cross-platform architecture, SignIQ enhances accessibility, improves learning efficiency, and delivers reliable real-time recognition, making it an effective solution for inclusive digital sign language education.
KEYWORDS
Publication Date
2/26/2026
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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