Volume 2 - Issue 2, March - April 2026

Due in large part to the expansion of e-learning platforms, online exams have become more prevalent in recent years. However, because of the potential for malpractice, maintaining the fairness and integrity of online tests continues to be a significant challenge. In order to monitor candidates during online exams, this paper suggests an AI-based online proctoring system that makes use of computer vision and machine learning techniques. Suspicious activity is identified by the system, including the absence of a face, the presence of multiple faces, unusual head movements, and the use of unapproved objects. The suggested system increases accuracy and scalability while decreasing the need for human proctors by automating the invigilation process. The system successfully detects cheating behaviors and improves the dependability of online tests, according to experimental results.

Dr.N. Kalaivani, Mr.J.Riswan,"AI-Based Online Proctoring System" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(834-840) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.