JobQuench: An Intelligent and Automated Placement Management System for Enhanced Campus Recruitment

The system focuses on the elimination of the main shortcomings and existing labor-intensive methods of recruitment on campuses by using a centralized and automated platform system. Many placement strategies still exist in the following major issues: putting the employers and students into the wrong positions, actually involves a lot of paperwork, and makes the availability of jobs not well perceived. Using the development tools of the contemporary age, this system empowers the front end in Flutter, the backend data management in Django REST API, and SQLite for light data storage. On ways through which students, placement officers and the employers are created, the system automates functions like resume database, job board as well as scheduling for interviews. There are also complementary services like alumni-mentor and career-profile to help students enhance their employment opportunities. There are positive trends in the first outcomes of the implementation of the Placement System with regard to enhanced satisfaction of users and increased effectiveness of recruitment. The platform also helps minimize time and efforts needed for conducting placement activities as well as enhance partnership between academic environment and industry. This paper defines the system’s architectural design and creates an understanding of how the design improves the placement practices, thereby filling the gap between classroom education and employment opportunities for graduates.