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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51339
Volume:
9 |
7 |
Jul 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.
In the rapidly advancing field of educational technology, academic institutions face persistent challenges in streamlining attendance tracking, automating assessments, and maintaining academic integrity due to manual processes and fragmented tools. This paper presents a modular college management system that integrates a portable ESP32 based biometric attendance device and intelligent software modules- including an AI-powered question paper generator, interactive quizzes, and a computer vision-based online proctoring system- within a secure, scalable microservices architecture built on Django, Flask, Node.js, and React. Real-world deployments demonstrated the system’s effectiveness, with the biometric device achieving over 98% fingerprint recognition accuracy, the AI question paper generator producing 95% faculty- accepted questions, and the online proctoring module detecting 97% of simulated suspicious behaviors. User satisfaction was high, with 92% of administrators, 89% of faculty, and 94% of students rating the system as easy to use and effective, as summarized in Table 1.1. These results confirm that the platform significantly reduces administrative workload, improves data accuracy, and provides a robust, scalable solution for digitally enabled institutions.
KEYWORDS
Publication Date
11/6/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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