International Research Journal of Engineering and Technology (IRJET) Volume: 13 Issue: 02 | Feb 2026
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
AI- BASED ONLINE EXAM PROCTORING APP Arya Mishra1, Vedika Patil2, Prachi Sudra3, Poonam Jadhav4 1Arya Mishra, Co, Viva Institute of Technology, Shirgaon, India 2Vedika Patil, Viva Institute of Technology, Shirgaon, India
3Prachi Sudra, Viva Institute of Technology, Shirgaon, India
4Poonam Jadhav, Viva Institute of Technology, Shirgaon, India
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Abstract - The expansion of online education has increased
continuously monitor candidate behavior without depending heavily on human invigilators. The Exam Proctoring App aims to solve these issues by offering a web-based remote examination monitoring system backed by intelligent observation techniques. The system seeks to ensure disciplined exam conduct by monitoring candidate activity, identifying violations, and enforcing examination rules in real-time. By blending structured exam management with automated monitoring and administrative oversight, the proposed system aims to enhance transparency, fairness, and trust in online examination settings while being user-friendly for both administrators and students.
the demand for secure and trustworthy examination systems. Conventional proctoring techniques are often ineffective in remote a environment, which leads to concerns about cheating and loss of exam credibility. This paper presents an AI-based online exam proctoring application that automatically supervises students during examinations using computer vision and behavior analysis techniques. The proposed system continuously monitors the candidate through webcam and microphone input to identify suspicious actions such as the presence of multiple faces, candidate absence, irregular head movements, voice detection, camera obstruction, and tab switching. All violations are logged with supporting evidence, and the examination is automatically terminated when predefined limits are exceeded. The application follows a role-based architecture consisting of Admin and Student modules with secure authentication mechanisms. By minimizing human intervention, the system enhances fairness, transparency, and academic integrity in online examinations.
2. System Overview
Key Words: Online Exam Proctoring, Artificial Intelligence, Computer Vision, Face Detection, Behavior Monitoring, Online Examination Security.
The Exam Proctoring App is a web-based remote examination system designed to support secure and monitored online assessments. The system combines exam management with continuous observation of candidate activity to ensure fair conduct during remote exams. It provides structured access for different users and supports administrative supervision throughout the examination process.
1. INTRODUCTION
2.1 Super Admin The Super Admin module manages the entire system. It handles user registration, role assignments, and system-level settings. This module ensures that only authorized users can access administrative and examination features.
The rapid growth of digital learning platforms and online education has changed how academic assessments are conducted. Institutions increasingly rely on remote examinations to evaluate student performance, especially in distance learning and large online courses. While online examinations offer convenience and flexibility, they also present serious challenges related to exam security, identity verification, and preventing cheating. Traditional in-person supervision methods do not work well in remote settings, making it hard to ensure that exams are fair and controlled. Most existing online examination systems mainly focus on delivering questions and evaluating results, providing limited supervision and monitoring. These systems often struggle to detect suspicious behavior such as impersonation, collaboration, using unauthorized resources,
2.2 Exam Admin The Exam Admin module takes care of examination-related activities within the system. It allows administrators to create and manage exams, monitor ongoing examinations, review recorded activities, and access examination results for evaluation.
2.3 Student The student module enables candidates to take part in online examinations through a controlled interface. Students can access assigned exams, attempt questions within the set time limit, and submit their responses while being continuously monitored by the system.
or candidates being absent during exams. As a result, academic integrity may suffer, lowering the reliability and credibility of online assessments. There is a rising demand for intelligent and automated proctoring solutions that can
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