Paper Title
Online Exam Proctoring System based on Artificial intelligence
Article Identifiers
Authors
Tharun , Veeramani , Sai krishna , Tarun kumar , Leela prasad
Keywords
Face Recognition, YOLO Algorithm, OpenCV library, Convolutional Neural Network.
Abstract
The research addresses the growing need for secure and reliable online exam proctoring in the era of remote education. The proposed system aims to be user-friendly, offering instructors an efficient exam setup and monitoring process, and exam takers a secure and accessible interface. Key features include real-time monitoring, customizable alerts for suspicious activity, and the elimination of physical examination centers. The system utilizes AI components like face recognition, the YOLO algorithm, and OpenCV library for robust exam proctoring. The research contributes to the automation of exam processes, maintaining academic integrity, and making online exams a convenient and fair option for remote learning.
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How To Cite (APA)
Tharun, Veeramani, Sai krishna, Tarun kumar, & Leela prasad (April-2024). Online Exam Proctoring System based on Artificial intelligence. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c504-c511. https://ijnrd.org/papers/IJNRD2404290.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : c504-c511
Other Publication Details
Paper Reg. ID: IJNRD_218092
Published Paper Id: IJNRD2404290
Downloads: 000122000
Research Area: Engineering
Country: Chennai, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404290.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404290
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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