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

Chinchrekar, Vaishnavi Rajendra and Jadhav, Abhijit Dnyaneshwar and Gopnarayan, Rushali Sudam and Parbhane, Anjali Arjun and Warade, Shraddha Gajanan (2025) Intelligent recruitment process for industries by using graduate students project based 100 points evaluations. International Journal of Science and Research Archive, 15 (1). pp. 1032-1039. ISSN 2582-8185

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.