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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17139964
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

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

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Tilak Maharashtra Vidyapeeth (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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Intelligent recruitment process for industries by using graduate students project based 100 points evaluations · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS