International Research Journal of Education and Technology

The Rise Of Remote Learning And Online Assessments Has Introduced Challenges In Maintaining Academic Integrity. This Project, "Ai-Based Proctoring System For Cheating Prevention In Online Exams," Addresses These Challenges By Leveraging Artificial Intelligence To Monitor And Secure Virtual Examinations Effectively. The System Employs Real-Time Face Detection To Authenticate Participants And Prevent Impersonation, Ensuring Only Authorized Candidates Can Access The Exam. Additionally, Gaze Tracking Algorithms Monitor Eye Movements, Detecting Off-Screen Distractions That May Indicate Potential Malpractice. The Integration Of Pose Estimation Enables The System To Analyze Examinees' Body Movements, Flagging Unusual Or Repetitive Actions That Could Suggest Cheating Attempts.

Powered By Tools Such As Yolo (You Only Look Once) For Object Detection And Mediapipe For Activity Recognition, The System Delivers Precise, Real-Time Insights. Proctors Can Oversee Live Exams Via A Responsive Web Interface, Receiving Instant Alerts For Suspicious Behavior.By Integrating

Advanced Machine Learning Algorithms, Video Intelligence, And Behavioral Analytics, This System Fosters Trust And Fairness In Online Education. It Not Only Deters Dishonest Practices But Also Reinforces The Credibility Of Virtual Assessments, Paving The Way For Secure And Reliable Digital Examination Solutions.KEYWORDS: Ai-Based Proctoring, Gaze Tracking, Pose Estimation, Real-Time Monitoring, Academic Integrity, Behavioral Analytics, Virtual Invigilation, Anomaly Detection, Secure Online Exams