Online exam proctoring application using-AI

Patil, Akshay Vinod and Chavan, Payal Atul and Jadhav, Shruti Rangnath and Phodkar, Atharva Umesh and Gulame, Mayuresh Bhagwat and Pimpalkar, Aarti Paresh (2025) Online exam proctoring application using-AI. International Journal of Science and Research Archive, 15 (2). pp. 1228-1234. ISSN 2582-8185

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