Proctored Online Examination System Using Deep Learning and Computer Vision

Authors

  • Prathmesh Mohite  BE Information Technology, AISSMS's Institute of Information Technology, Pune, Maharashtra, India
  • Rupam Patil  BE Information Technology, AISSMS's Institute of Information Technology, Pune, Maharashtra, India
  • Vinaya Borhude  BE Information Technology, AISSMS's Institute of Information Technology, Pune, Maharashtra, India
  • Aditya Pawar  BE Information Technology, AISSMS's Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST218282

Keywords:

Online Examination System, Django, Opencv, Facial Feature Detection.

Abstract

This paper focuses on the online examination system developed with the goal to make online examinations more accessible and reliable using deep learning models for the proctoring system. It also covers the various technologies and languages used in the development process, including but not limited to HTML3, CSS5, BOOTSTRAP5, Django, Python. The developed system is reliably able to detect and counter any attempts at cheating during the exam, and provides a user-friendly system interface with focus on ease of use and simplicity.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-30

Issue

Volume 8, Issue 2, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prathmesh Mohite, Rupam Patil, Vinaya Borhude, Aditya Pawar "Proctored Online Examination System Using Deep Learning and Computer Vision" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 2, pp.510-514, March-April-2021. Available at doi : https://doi.org/10.32628/IJSRST218282