• Adarsh P
• Nair Rahneesh krishna Ashokan
• Navaneeth
• Neeraj K.P
• Nivin K.S,Daya Naik

Ensuring academic integrity is a cornerstone of quality education, yet student malpractice remains a persistent challenge in educational institutions worldwide. Student malpractice, including acts such as plagiarism, cheating, and falsification of academic records, presents a significant challenge to maintaining integrity in educational institutions. This project aims to develop a comprehensive framework for the prediction and detection of student malpractice using advanced machine learning techniques.

AI in Exam Monitoring ,Computer Vision for Exam Surveillance, Anomaly Detection in Exams, Behavior Analysis in Examinations, Proctoring System, Remote Exam Monitoring.

"MALPRACTICE PREDICTION AND DETETCION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.778-782, July-2025, Available :http://www.jetir.org/papers/JETIRGX06145.pdf

"MALPRACTICE PREDICTION AND DETETCION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp778-782, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06145.pdf