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AI-BASED SELF-PROCTORING QUIZ MANAGEMENT SYSTEM

AI-BASED SELF-PROCTORING QUIZ MANAGEMENT SYSTEM

Rajat Choudhary¹, Rishika Agarwal²

Choudharyrajat037@gmail.com¹, Rishika.agarwal.cs.2019@miet.ac.in²

¹Department of Computer Science & Engineering, Meerut Institute of Engineering & Technology, Meerut

²Department of Computer Science & Engineering, Meerut Institute of Engineering & Technology, Meerut

Abstract: This article presents a system for monitoring and detecting fraudulent behavior during online tests to maintain academic integrity. It analyzes multimedia data in real-time to identify suspicious actions by test takers. The captured audio-visual data must be suitable for fraud detection. The shift towards online education has increased due to the COVID-19 pandemic, leading to a higher demand for online proctoring services, including AI-powered systems. However, concerns exist regarding the privacy of sensitive information collected by these systems.The article explores AI-based and non-AI-based supervision systems, discussing their advantages and limitations. Universities and IT institutions worldwide offer online courses, exams, and tools, providing flexibility and cost savings. The article introduces a new approach to test proctoring using webcams, highlighting the importance of exam security and reducing test taker stress. By comparing webcam-based monitoring with traditional methods, the article examines the effectiveness and potential benefits of this alternative approach. Ensuring the security and credibility of online exams remains a significant concern, and the article discusses the operation and implications of webcam-based proctoring in addressing these challenges.

Keywords:  AIPS, Exam, Online supervision, Online Education, Artificial Intelligence, Online Proctoring System