International Research Journal of Engineering and Technology (IRJET) Volume: 11 Issue: 04 | Apr 2024
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
AI Proctoring System For College Campus Prof. Sneha Sankhe1, Kaustubh Vaze2, Shubham Gharat3, Arif siddiqui4 1 Professor, Dept. of IT Engineering, Theem College of Engineering, Maharashtra, India 2 U.G. Student, Dept. of IT Engineering, Theem College of Engineering, Maharashtra, India
3 U.G. Student, Dept. of IT Engineering, Theem College of Engineering, Maharashtra, India 3 U.G. Student, Dept. of IT Engineering, Theem College of Engineering, Maharashtra, India
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Abstract - In recent years, the field of educational
CNN and YOLO algorithms, the system excels in real-time face detection, object recognition, and posture assessment, ensuring that online exams are conducted with the utmost integrity and fairness. This system is designed to ensure the security and integrity of online exams, creating a robust framework for the examinationprocess. The core structure of this system consists of an exam portal, which serves as the platform for candidates to take their exams. Administrators and professors hold thepower to generate and manage questions, ensuring the academic quality of the assessments.
technology has experienced remarkable advancements. Schools and universities have been embracing online platforms to better cater to their studentsneeds, and artificial intelligence-driven proctoring solutions have become increasingly prevalent. These AI proctoring systems (OPS) leverage digital tools to ensure the integrity of examinations. The abstract of the online exam proctoring system project presents an innovativeweb-based solution for secure and fair remote examinations. This system allows candidates to register, log in, and complete exams while being continuously monitored by an AI-based proctoring system. The system integrates modules for face recognition, object detection employing advanced algorithms such as CNN and YOLO. In the event of any cheating attempts, the system promptly alerts administrators, captures photos and timestamps as evidence . This project addresses the pressing need for maintaining academic integrity in online assessments, providing a comprehensive and reliable solution for educators and instutions.The face recognition module utilizes deep learning to enhance identity verification, while object detection ensures a cheat-resistant environment. With real- time movement analysis powered by advanced algorithms like CNN and YOLO, the system remains vigilant throughout the examination duration. The commitment to transparency is evident through instant alerts, thorough evidence capture, and personalized reports, fostering a sense of trust .
2. LITERATURE SURVEY
Key Words: Yolo, CNN.
During the exam, the system continuously monitors candidates via their webcam. When suspicious activities are detected, such as a failure in face recognition or the presence of unauthorized objects, warning alerts are generated. The system takes action by capturing photos of the candidate along with a timestamp, creating a record of any violations. After three alerts, the system automatically logs the candidate out, thereby terminating their participation in the exam. The photos and timestamps are sent to the proctoring system administrator for further investigation. The final component of this system is the generation of personalized reports for each candidate. The final component of this system is the capture and documentation of violations during the exam. These violations are recorded through photographs, providing clear evidence ofany infractions.
1. INTRODUCTION
2.1. Existing Papers
The AI-based proctoring system developed using html, css, javascript, Python, Django, and SQLite, incorporates state-ofthe-art algorithms such as Convolutional Neural Networks (CNN) and YOLO (You Only Look Once) to ensure a robust and effective monitoring solution for online exams. This system leverages the power of artificial intelligence to monitor and analyze student behavior during exams, with a particular focus on detecting irregularities and maintaining exam integrity. By integrating Django for web application development and SQLite for database management, the system provides a user-friendly and secure platform for both students and exam administrators. With the application of
The COVID-19 pandemic has provided students more opportunities to learn and improve themselves at their own pace. Online proctoring services (part of assessment) are also on the rise, and AI-based proctoring systems (henceforth called as AIPS) have taken the market by storm. Online proctoring systems (henceforth called as OPS), in general, makes use of online tools to maintain the sanctity of the examination While most of this software uses various modules, the sensitive information they collect raises concerns among the student community. There are various psychological, cultural andtechnological parameters need to be considered while developing AIPS.
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