i-manager Publications

An AI-Based Online Exam Proctoring Framework

Roli Jain*, Puja Gupta**, Sahil Bansal***, Vichitra Singh****

*-**** Department of Information Technology, Shri G. S. Institute of Technology and Science, Indore, Madhya Pradesh, India.

Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jcom.10.3.19161

Abstract

In recent years, there has been an increase in online education. However, an adequate technique was not developed for online examinations. Some educational facilities have compiled assignments that students may copy and paste from the web, while others use remote proctoring, where a human proctor monitors what the students are doing online. Cheating in online tests remains common despite all the growth that has taken place in this field. This paper proposes an Artificial Intelligence (AI)-based system that can assist in the automatic detection of fraud in online tests. This method is both efficient and trustworthy. This system outperformed previous systems in experiments.

Keywords

Proctoring, Online tests, Machine Learning, Eye-Gaze, Head-Poses, OpenCV.

How to Cite this Article?

Jain, R., Gupta, P., Bansal, S., and Singh, V. (2022). An AI-Based Online Exam Proctoring Framework. i-manager’s Journal on Computer Science, 10(3), 7-12. https://doi.org/10.26634/jcom.10.3.19161

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