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Online Exam Proctoring using AI
Mr. Sudhir Ramesh Nikam, Prof. Miss. Chetana Kawale
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Abstract: The main aim of this study is to understand how Artificial Intelligence can be used to create a secure and effective system for monitoring online examinations. The proposed system uses a webcam to observe students during the exam and check their activities. Different AI methods, such as face detection, face recognition, object detection, head movement tracking, eye-gaze monitoring, and behavior analysis, can help identify unusual or suspicious activities. For example, the system can check whether the correct student is taking the exam, whether another person appears in front of the camera, or whether any restricted objects are being used. If the system notices any suspicious activity, it can generate an alert or save the details of the event for later review. This can help make online examinations more secure, fair, and trustworthy.
How to Cite:
[1] Mr. Sudhir Ramesh Nikam, Prof. Miss. Chetana Kawale, “Online Exam Proctoring using AI,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.131024
