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{196787,
author = {DINESH S and DEEPALAKSHMI K C and VISHNU K and JEGATHEESH A and PONNEELA VIGNESH R},
title = {AN AI-BASED SMART PLACEMENT CELL MANAGEMENT SYSTEM FOR HIGHER EDUCATION INSTITUTIONS},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {3567-3573},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=196787},
abstract = {The increasing demand for efficient campus placement management has led educational institutions to adopt digital solutions. Traditional placement systems often rely on manual processes, resulting in inefficiencies, lack of transparency, and delayed communication. This paper presents an AI-Driven Placement Management System designed to automate and enhance the placement process using modern web technologies and artificial intelligence.
The system is developed using React.js for the frontend, FastAPI for the backend, and MongoDB for database management. It integrates an AI assistant powered by a Large Language Model (LLM) to provide personalized career guidance, interview preparation, and resume suggestions. The platform enables centralized management of students, companies, and recruitment drives while offering real-time application tracking and analytics.
The proposed system improves operational efficiency, reduces administrative workload, and enhances student engagement. Experimental results demonstrate the effectiveness of the system in streamlining placement activities and providing intelligent insights.},
keywords = {Artificial Intelligence, Placement Management System, FastAPI, React.js, MongoDB, LLM, Campus Recruitment, Web Application},
month = {April},
}
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