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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Fast Publication within 48 hours || Low Article Processing Charges || Peer Reviewed and Referred Journal || Free Certificate

Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Intelligent recruitment process for industries by using graduate students project based 100 points evaluations

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  • Intelligent recruitment process for industries by using graduate students project based 100 points evaluations

Vaishnavi Rajendra Chinchrekar *, Abhijit Dnyaneshwar Jadhav, Rushali Sudam Gopnarayan, Anjali Arjun Parbhane and Shraddha Gajanan Warade

Computer Engineering, PCCOER, Ravet, Pune, India.

Research Article

International Journal of Science and Research Archive, 2025, 15(01), 1032-1039

Article DOI: 10.30574/ijsra.2025.15.1.1117

DOI url: https://doi.org/10.30574/ijsra.2025.15.1.1117

Received on 11 March 2025; revised on 16April 2025; accepted on 19 April 2025

In the academic world, effective project manage- mentis essential for the success of numerous initiatives, especially in contexts of colleges and universities. This paper proposes an Intelligent project management system that is suited to the unique needs and problems of educational institutions. The system encompasses a robust set of tools designed to effectively manage, plan, and monitor all project phases within college environments. In addition, Intelligent system provides a plagiarism checking facility and grants students access to previous projects, empowering them to gain insights into the current project landscape and enhance their own projects accordingly. The Intelligent System helps in bringing together graduate people from reputed college to the Industrialist by using 100 points- based evaluation of projects and also gives response time of 200ms which is better than the existing project management systems. The Intelligent system is developed in the Python Django framework which has increased Scalability by70%. This study also presents a comprehensive analysis of the design, development, and implementation of the website, highlighting the key features and functionalities. Additionally, the paper discusses the potential benefits of using Django for Intelligent System.

Authentication; Integrity; Intelligent project management system; Plagiarism; Response time; Scalability

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-1117.pdf

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Vaishnavi Rajendra Chinchrekar, Abhijit Dnyaneshwar Jadhav, Rushali Sudam Gopnarayan, Anjali Arjun Parbhane and Shraddha Gajanan Warade. Intelligent recruitment process for industries by using graduate students project based 100 points evaluations. International Journal of Science and Research Archive, 2025, 15(01), 1032-1039. Article DOI: https://doi.org/10.30574/ijsra.2025.15.1.1117.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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