Assesment Proctoring system
Year: 2025
Type: article
Abstract: This project introduces an AI Based Exam Proctoring System designed to maintain the integrity of online assessments by leveraging advanced technologies. The system employs a combination of artificial intelligence, machine learning, and computer vision techniques to monitor and secure online exams. Key functionalities include real-time video monitoring of testtakers, facial recognition, eye-tracking, and behavior analysis to detect any suspicious activities. The Online Proctoring System not only minimizes cheating but also reduces the administrative burden on educators by automating the proctoring process, allowing for scalable and efficient online assessments. In an era of remote learning, Assessment Proctoring System using AI/Ml is a vital tool for maintaining academic integrity and trust in online education. This project serves as a comprehensive guide for educators, institutions, and technologists interested in the development and deployment of effective online proctoring solutions. To implement this project, we leverage commonly available hardware components such as a webcam and a microphone which are connected to the student's PC or laptop. Real Time video processing capabilities are harnessed to continuously monitor the examination environment. Any suspicious activities or deviations from the expected behavior are promptly detected by the AI algorithm.
Author: Rohit Havaldar
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409181973