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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM29900
Volume:
8 |
4 |
Apr 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.
The study examines developments in facial recognition technology in fields including online marketing, e- learning, e-therapy, security, and attendance tracking. It highlights the significance of emotional intelligence in human- computer interactions, emphasizing in particular the importance of facial emotions as non-verbal indications in digital settings. It tackles issues with implementing facial recognition in resource-constrained systems by creating a deep learning tool for evaluating patient’s moods during e-therapy sessions. With its automated attendance management system, SmartAttend Insights guarantees accurate recording and encourages consistent attendance with its communication tools and notifications. In addition, deep learning algorithms support collaborative learning environments and analyse academic performance. Overall, the study demonstrates how deep learning may significantly improve student engagement, performance, and accountability in the classroom. SmartAttend Insights is a valuable tool for educators, parents, students, and educational institutions.
KEYWORDS
Publication Date
12/31/45383
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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No funding information available for this research.
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