Computer Science Engineering, School of Computing MIT-ADT University Pune, Maharashtra, India.
International Journal of Science and Research Archive, 2025, 15(02), 1228-1234
Article DOI: 10.30574/ijsra.2025.15.2.1440
Received on 06 April 2025; revised on 14 May 2025; accepted on 16 May 2025
In the evolving landscape of online education, ensuring the integrity of remote examinations has become a critical challenge. This paper presents the development of an “AI-powered Online Exam Proctoring Application” designed to detect and prevent cheating during online assessments. The proposed system leverages computer vision techniques using OpenCV and Media Pipe to monitor students' behavior in real-time by tracking both eye movements and hand gestures. If a student looks away from the screen or their hands move out of the camera frame, both potential indicators of malpractice, the system automatically captures a screenshot as evidence. These captured incidents are logged and made available to the invigilators for review, thereby supporting teachers in identifying and addressing instances of academic dishonesty. By combining automated monitoring with intelligent violation detection, the system offers a scalable and effective solution to maintain fairness and credibility in online examinations
AI-Based Proctoring; Hand Movement Detection; Deep Learning; Media Pipe; Eye Movement Detection
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Akshay Vinod Patil, Payal Atul Chavan, Shruti Rangnath Jadhav, Atharva Umesh Phodkar, Mayuresh Bhagwat Gulame, and Aarti Paresh Pimpalkar. Online exam proctoring application using-AI. International Journal of Science and Research Archive, 2025, 15(02), 1228-1234. Article DOI: https://doi.org/10.30574/ijsra.2025.15.2.1440.
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