Lately, remote education has been more popular. However, there hasn't been a legitimate outcome for academic exams. Several institutions have mandated remote proctoring, where an invigilator proctor continuously monitors student performance, while others have collected assignments that students can copy and paste from the internet, where an invigilator proctor keeps watching pupil conditioning. There must be a solution if the way we live is to become the new norm. We have proposed a methodology in this research to formulate a comprehensive system that is AI-based and can help avoid exam cheating. The system monitors for fraudulent activity and records the proof. This technology will be both affordable and secure.
@article{sridhar2022,
author = {Arjun Sridhar and J. S. Rajshekhar},
title = {{AI-Integrated Proctoring System for Online Exams}},
journal = {Journal of Artificial Intelligence and Capsule Networks},
volume = {4},
number = {2},
pages = {139-148},
year = {2022},
publisher = {Inventive Research Organization},
doi = {10.36548/jaicn.2022.2.006},
url = {https://doi.org/10.36548/jaicn.2022.2.006}
}
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