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{202881,
author = {Prathmesh Ravindra Linge and Tanvi Tanaji Beloshe and Rutuja Subhash Sabale and Dipali Laxman Mane and Tanmay Ashok Jadhav},
title = {Enhancing Student Attendance and Placement Management Through Artificial Intelligence},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {9830-9835},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=202881},
abstract = {In order to make the attendance management and placement communication effective, the AI-Based Student Attendance and Placement Monitoring System has been developed. As the conventional ways of handling attendance are quite time consuming, less accurate and required manual efforts and the students miss the updated placements, College activities and events, this system has been developed using the Artificial Intelligence and Autonomous Systems (Artificial Intelligence) to overcome it. This future system saves manual efforts, improves communication between students and the Placement officer, avoid mistakes in attendance, and more efficiency to the college administration. It is a secure, robust, and easy to interact system which can be used in all the institutions for smart attendance and placement},
keywords = {},
month = {May},
}
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