In this project, it has been proposed the use of AI and ML for the purposes of real-time surveillance and detection of malpractices in an online examination system. As there could be many ways that a student may try to commit unfair practices, such as utilizing external aid, multiple candidates, or any other suspicious browsing activity; therefore, the current methodologies do not guarantee the absolute correctness and integrity of an examination. Video analysis using AI and monitoring browser activity have been combined to analyze continuous flows of information in order to detect anomalies like non-attendance, multiple people being in view, and distracted attention. The identified violations are marked and saved, and then the corresponding clips are selected to create reports that help the educators review the candidate\\\'s actions during the test. It will help minimize the necessity for manual control and will ensure higher precision and consistency. The purpose of the project is to enable real-time detection and analysis of any exam activities by means of monitoring with intelligence.
R et al. (Thu,) studied this question.