Abstract
In recent years, virtual exam proctoring systems have become increasingly essential to support remote assessments in academic and professional settings. This research paper explores the development and implementation of a Virtual Exam Proctoring System designed to monitor and ensure the integrity of online examinations. Using a blend of artificial intelligence, facial recognition, and activity-tracking algorithms, the system detects and prevents cheating by monitoring students’ behaviors and surroundings throughout the examination process. The study delves into technical aspects, including the architecture of the proctoring platform, data privacy considerations, and the integration of real-time alerts for suspicious activities. Additionally, we analyze user experience, accuracy, and the ethical challenges that arise with automated surveillance in educational contexts. The findings suggest that, when deployed thoughtfully, virtual proctoring systems can effectively enhance academic integrity while balancing privacy concerns, setting a foundation for further innovation in secure online assessments.
Keywords
Academic Integrity, Artificial Intelligence, automated surveillance.
Citations
IRE Journals:
Arbaaz Khan J , Abhishek S , Mohammed Usman , Vishwa P , Shantha Kumari K N
"Virtual Exam Proctoring System" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 1075-1077
IEEE:
Arbaaz Khan J , Abhishek S , Mohammed Usman , Vishwa P , Shantha Kumari K N
"Virtual Exam Proctoring System" Iconic Research And Engineering Journals, 8(9)
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