Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{204910,
author = {Rutuja Eknath Gaikwad and Chinmay Dattatray Karpe and Vedika Narayan Bharankar and Tejaswini Vishnu Dhanwade and Apurva Krishnat Gurule and Prof.Rajesh Pauldurai},
title = {Proctor X Analyzer: An AI-Powered End-To-End Online Examination and Learning Support Platform},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {4802-4810},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=204910},
abstract = {Proctor X Analyzer is an advanced AI-powered online examination and learning support platform designed to address the challenges of remote education, examination security, and educational analytics. The proposed system integrates computer vision, machine learning, deep learning, cloud infrastructure, NLP, and behavioral analytics to create a secure and scalable examination ecosystem. The platform performs real-time facial recognition, eye tracking, head movement analysis, suspicious activity detection, automated attendance monitoring, and learning analytics generation. The system architecture combines frontend interfaces, backend APIs, AI inference engines, cloud databases, and analytics dashboards. Experimental implementation demonstrates improved examination integrity, automation, scalability, and performance monitoring. The project provides a unified solution for educational institutions, certification platforms, and remote learning systems.},
keywords = {},
month = {June},
}
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