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{191445,
        author = {M. Akshaya and V. Mageswari},
        title = {SMART EXAM SURVEILLANCE-BEHAVIOUR TRACKING AND LOG REPORTING SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {6937-6940},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191445},
        abstract = {The rise of remote and computer-based examinations has increased the need for reliable systems that can capture and record student behaviour during assessments. The Smart Exam Surveillance System focuses on monitoring system-level actions that may indicate misconduct, such as tab switching, minimizing the exam window, or attempting to capture content through print-screen shortcuts. Whenever such actions occur, the system displays an alert to the studend and simultaneously records the event for examiner review.All behavioural data is organised into structured logs, which can be accessed and downloaded as reports by the examiner.
The system is built using the Flask framework with a lightweight SQLite storage layer, allowing smooth deployment and efficient data handling.behavioural algorithms, challenges, and overall benefits of the Smart Exam Surveillance System, demonstrating how behaviour tracking can strengthen examination transparency and academic fairness [1][2].},
        keywords = {Exam Behaviour Tracking, Tab Switch Detection, Screenshot Detection, Behaviour Logging, Secure Authentication, Exam Surveillance, Behaviour Reports, Flask Framework, SQLite Storage, Academic Integrity.},
        month = {January},
        }