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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60576

Smart Monitor AI – A Secure Online Examination and Malpractice Detection Framework

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60576

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60576

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.

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Authors

NS

Nandhini S1

SR

Sanjay R2

SBaSM

Shivani B3 and Swetha M4

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Abstract

The rapid expansion of online education has created significant challenges in maintaining academic integrity during remote examinations. To address the limitations of traditional manual and webcam-based monitoring, this project introduces Smart Monitor AI, an AI-powered Automated Exam Proctoring System that combines computer vision, behavioral analysis, and real-time activity tracking to supervise students during exams. The system identifies suspicious activities such as absence of face, presence of multiple individuals, gaze deviation, object detection (like mobile phones or books), tab switching, and unusual posture behavior, while generating instant alerts and detailed violation reports for instructors. By utilizing lightweight, the platform ensures privacy-focused and scalable monitoring without requiring additional software installations. Additionally, it integrates a professional coding environment for programming assessments, making it a secure, efficient, and reliable solution for conducting fair and modern online examinations.

KEYWORDS

AI-based Proctoring Automated Exam System Computer Vision Malpractice Detection Real-Time Monitoring Exam Security Integrated Code Editor.

Cite This Article

Nandhini S1, Sanjay R2, Shivani B3 and Swetha M4, "Smart Monitor AI – A Secure Online Examination and Malpractice Detection Framework," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60576

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Publication Date

4/17/2026

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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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