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Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences"
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Vol. 76 No. 4 (2021)

PROCTORING SYSTEM USING MACHINE LEARNING ALGORITHMS TO DEVELOP ATTESTATION SOFTWARE

Published December 2021
N. Duisegaliyeva+− A. Adamova+−
S..Seifullin Kazakh AgroTechnical University, Nur-Sultan, Kazakhstan
Astana IT University, Nur-Sulatn, Kazakhstan
DOI: 10.51889/2021-4.1728-7901.11
Abstract

In this pandemic situation of Covid-19 pandemic, there is an increasing focus on online remote access using machine learning. However, there has been a great trouble in conducting examinations and if it is the way we are living is to be the new norm there needs to be some solution. Developing attestation software using machine-learning algorithms in Python that can monitor learners with a system webcam and microphone. Further implementing this process at a large scale will make it possible to complete large work in a short period.  This paper focuses on the tests and analyzes the creation of functions that can make the existing webcam control system more advanced. In addition, in the development process, various technologies and languages ​​are used such as HTML3, CSS5, BOOTSTRAP5, Django, Python, PostgreSQL and the necessary libraries.

 

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Рус

Keywords
online exam system proctoring, identification discovery machine learning convolutional neural networks attestation OpenCV. YOLO, DNN, DarkNet
How to Cite

[1]
Дуйсегалиева, Н. and Адамова, А. 2021. PROCTORING SYSTEM USING MACHINE LEARNING ALGORITHMS TO DEVELOP ATTESTATION SOFTWARE. Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences". 76, 4 (Dec. 2021), 79–87. DOI:https://doi.org/10.51889/2021-4.1728-7901.11.