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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM12078

Secure Online Assessment System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM12078

Volume:

6 |

3 |

Mar 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM12078

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DS

Dhaval Shah

MP

Mir Pasad

NS

Neel Shah

MMG

Mrs. Manya Gidwani

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Abstract

In this pandemic situation of Covid-19, online learning has blossomed. All the schools and universities have been shut down and they were switched to online applications to finish their academic activities. However, there has been great trouble in conducting examinations. Some institutions have moved it to an assignment form where students can just copy and paste their answers from the internet. Exam cheating is a common occurrence around the world, regardless of the country’s degree of development. Exam monitoring has gotten more difficult to control as e-learning has grown in popularity. As a result, continual real-time surveillance is required to protect the student’s identity during the evaluation period. As a result, we describe an online exam proctoring system in this paper that allows for automatic and continuous monitoring. Face recognition is used in the deployed solution to ensure strong student verification. To improve the performance of the suggested system, we created numerous parameters to detect any fraudulent behaviour while the candidate is using the exam management system.

KEYWORDS

Online exam continuous authentication machine learning automatic monitoring exam proctoring

Cite This Article

Dhaval Shah, Mir Pasad, Neel Shah, Mrs. Manya Gidwani, "Secure Online Assessment System," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 3, Mar 2022. https://doi.org/10.55041/IJSREM12078

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Publication Date

3/30/2022

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Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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