IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 10

Published on: October 2026

ATHENA PROCTOR - SMART PROCTORING SYSTEM FOR ONLINE EXAM

ROOPA N A SUBHASH K UDITHA VEERBASAVANTH REDDY

Manohara Gowda

CSE department VTU University Belagavi, India
DOI:https://doi.org/10.55041/ijcope.v2i10.055

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Download PDF Review Report

Abstract

Online examinations provide flexibility and accessibility for students and educational institutions, but maintaining academic integrity in remote assessment environments remains a major challenge due to limited direct supervision. Traditional examination methods may not effectively identify impersonation, unauthorized materials, suspicious movements, or attempts to access external resources during an examination. To address these challenges, this paper presents a Smart Proctoring System for Online Examinations that integrates Artificial Intelligence (AI), Machine Learning (ML), computer vision, audio monitoring, and web technologies to support automated examination supervision.

How to Cite this Paper

A, R. N., K, S., UDITHA, & REDDY, V. (2026). Athena Proctor - Smart Proctoring System for Online Exam. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(10), 1-9. https://doi.org/10.55041/ijcope.v2i10.055

A, ROOPA, et al.. "Athena Proctor - Smart Proctoring System for Online Exam." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i10.055.

A, ROOPA,SUBHASH K, UDITHA, and VEERBASAVANTH REDDY. "Athena Proctor - Smart Proctoring System for Online Exam." International Journal of Creative and Open Research in Engineering and Management 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i10.055.

Search & Index

Google Scholar Crossref DOI ResearchGate

References


  • Choudhary, A. Sharma, and R. Gupta, “AI-Based Smart Proctoring System for Online Examinations,” IEEE Access, vol. 9, pp. 11234–11245, 2021.

  • Jain and P. Singh, “Automated Online Exam Proctoring Using Computer Vision Techniques,” IEEE Transactions on Learning Technologies, vol. 15, no. 2, pp. 210–220, 2022.

  • Patel, R. Verma, and S. Desai, “Face Detection and Recognition for Secure Online Examination Systems,” IEEE Access, vol. 10, pp. 33450–33460, 2022.

  • Nigam, R. Pasricha, T. Singh, and P. Churi, “A Systematic Review on AI-based Proctoring Systems: Past, Present and Future,” Education and Information Technologies, vol. 26, pp. 6421–6445, 2021.

  • “Online Exam Proctoring System Based on Artificial Intelligence,” in Proceedings of the 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), 2023.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Oct 10 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Back to Volume 02, Issue 10View All Issues Next Article

← Previous Article

Assessment of Water Pollution in the Kharun River and Evaluation of a 50 MLD SBR-Based Sewage Treatment Plant as a Future intervention for Pollution Mitigation in Raipur, Chhattisgarh

Next Article →

Benchmarking Supervised Learning, Contextual Transformers, and Explainability Layers for Online Recruitment Fraud Detection
Scroll to Top