PROCTOAI: Enhancing Exam Integrity with Machine Learning

The project PROCTOAI: Enhancing Exam Integrity with Machine Learning proposes the development and implementation of PROCTOAI, a cutting-edge system aimed at bolstering the integrity of examinations through the utilization of machine learning techniques. With the pervasive rise of remote and online assessments, maintaining exam integrity has become a pressing concern. PROCTOAI seeks to address this challenge by employing advanced machine learning algorithms to detect and deter academic dishonesty, including cheating, impersonation, and unauthorized aids. By leveraging sophisticated facial recognition, behaviour analysis, and anomaly detection, PROCTOAI aims to provide educators and institutions with a robust solution to safeguard the credibility and fairness of exams conducted in virtual environments. Through its proactive approach to monitoring and intervention, PROCTOAI strives to uphold the standards of academic integrity and promote a level playing field for all learners.

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Publication Details

Journal
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
Published
2024-10-18
DOI
https://doi.org/10.18090/samriddhi.v16i02.01
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
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article

PROCTOAI: Enhancing Exam Integrity with Machine Learning

Krushna Ingale, Pratish Bamane, Yash Repal, Aniket Palkar et al.
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
Academic integrity and plagiarism
article

PROCTOAI: Enhancing Exam Integrity with Machine Learning

Krushna Ingale, Pratish Bamane, Yash Repal, Aniket Palkar, Saurabh Parchande
article en

Abstract

The project PROCTOAI: Enhancing Exam Integrity with Machine Learning proposes the development and implementation of PROCTOAI, a cutting-edge system aimed at bolstering the integrity of examinations through the utilization of machine learning techniques. With the pervasive rise of remote and online assessments, maintaining exam integrity has become a pressing concern. PROCTOAI seeks to address this challenge by employing advanced machine learning algorithms to detect and deter academic dishonesty, including cheating, impersonation, and unauthorized aids. By leveraging sophisticated facial recognition, behaviour analysis, and anomaly detection, PROCTOAI aims to provide educators and institutions with a robust solution to safeguard the credibility and fairness of exams conducted in virtual environments. Through its proactive approach to monitoring and intervention, PROCTOAI strives to uphold the standards of academic integrity and promote a level playing field for all learners.

SAMRIDDHI A Journal of Physical Sciences Engineering and TechnologyVol. 16(02)
Solapur University (IN)
Quality Education
Openalex Percentile: Top 75%
Academic integrity and plagiarism
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