International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
Smart Proctoring System for Secure and Fair Online Exams Shreeram Mutukundu1, Ankush Tiwari2, Adarsh Kumbhar3, Varsha Kulkarni4 1Student, Dept. of Computer Engineering, JSPM’s Imperial College of Engineering and Research, Wagholi, Pune,
Maharashtra, India
2Student, Dept. of Computer Engineering, JSPM’s Imperial College of Engineering and Research, Wagholi, Pune,
Maharashtra, India
3Student, Dept. of Computer Engineering, JSPM’s Imperial College of Engineering and Research, Wagholi, Pune,
Maharashtra, India
4Professor, Dept. of Computer Engineering, JSPM’s Imperial College of Engineering and Research, Wagholi, Pune,
Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In recent years, online examinations have
create a cheating free environment along with maintaining excellent user experience. This combination, mixture of artificial intelligence by keeping the web technologies suitable for all kinds of examinations as there are numerous types of tests conducted nowadays.
become more and more popular because of their flexibility. Especially under the effect of COVID-19 pandemic, guaranteeing exam cheat-free becomes a big challenge for educational institutions. In this paper, we propose the AIbased proctoring that does not require continuous human being supervision. The system uses neural networks and machine learning to detect inevitable actions in a test such as eye movement tracking, mouth movement tracking and device using checking etc. Experimental results show that our developed system decreases cheating rate and outperforms other human-based proctoring approaches.
By converting from a reactive monitoring to a proactive surveillance, our proposed research demonstrates a new methodology of online exam security where the AI proctor doesn't only watch the examination but interacts with the examination and reports about any suspicion at first hand. Such advantage allows educational institutes to conduct secure exams for any number of examinees in different campuses or even time zones. This will be applicable as long as online based-learning becomes more prevalent over conventional courses. And also for e-assessment aspects this manuscript will have an opportunity to establish competition among future works which target ensuring fairness, accessibility and trustworthiness.
Key Words: AI proctoring, cheating detection, machine learning, online exam security, proctoring automation, real-time monitoring
1. INTRODUCTION
2. LITERATURE
This research targets with a growing challenge of academic dishonest that has become evident in remote exams, especially after the expansion of online education. That is, the traditional methods for exam proctoring based on human invigilators are no longer applicable and feasible in the digital era. Hence we propose an innovative solution, namely an AI-empowered proctor system as an integrated part in online exam environments to monitor students and maintain the exam integrity during real-time. By employing advanced algorithms and machine learning, AI proctors can recognize facial expressions indications, distinguish screen activities as well as capturing background variances even more sufficiently than human.
In paper [1], authors addressed problem of online education, which became especially popular during COVID-19 pandemic all educational organizations were forced to change teaching process into distant mode and problems associated with academic integrity went up. As for students it now became easier to cheat the system using different services which can write student’s paper or make exam instead of him, developers should urgently do something in order to use AI solutions, namely proctorlike systems during test administration on line and especially remotely over the Internet. For that kind of proctoring because of safety requirements new nonintrusive techniques are needed like face recognition and behaviour analysis to prevent from cheating.
The crux of our project lies in merging AI with MERN stack to get a scalable and secure structure for creating an efficient real-time exam monitoring system. The AI track, evaluates and constantly monitor’s the examinee throughout the examination duration. Whenever AI finds any deviations or malpractices like unauthorized olding of objects, usage of foreign material or accessing external devices it will alert instantly which together helps us
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In [2], the authors proposed an AI-based online exam proctoring system to guarantee the credibility and security of a remote exam. To monitor that students do not cheat during the exam, a webcam and microphone, as well as sophisticated algorithms, are used. The authors
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