A Web-Based Recruitment and Placement Management System

Abstract

Campus recruiting and placement operations have become increasingly complicated and difficult to handle due to the expansion of higher education institutions and the rising number of graduating students. The placement process is still managed by old manual techniques or partially automated systems in many schools and universities, which frequently results in a number of operational problems. Data redundancy, improper record administration, delayed communication between recruiters and students, trouble monitoring student eligibility, and a lack of openness in the recruiting process are some of these problems. These traditional processes become ineffective, time-consuming, and vulnerable to human error as the number of students and participating firms rises annually. An automated and integrated platform that can efficiently oversee the hiring and placement process at educational institutions is therefore desperately needed. It is a web-based program created to automate and expedite the university recruiting process, is designed and implemented in this study. In order to facilitate seamless coordination and effective administration of placement operations, the suggested system offers a centralized platform that links recruiters, placement officials, and students. Students can use the system to apply for jobs that meet their qualifying requirements, submit resumes, update their academic and personal profiles, and register online. Using an administrative dashboard, placement managers may oversee corporate registrations, plan recruiting drives, issue job announcements, confirm student eligibility, and track the overall placement process. Conversely, recruiters may check the profiles of qualified candidates, select candidates, and handle the hiring process more effectively. Modern full-stack web technologies are used in the system\'s development to guarantee performance, scalability, and dependability. React.js is used to create the frontend, offering various stakeholders an interactive and responsive user experience. The Spring Boot framework, which facilitates reliable application development and effective management of server-side logic, is used in the creation of the backend services. Recruitment data, job listings, corporate information, and student records are all stored and managed using MySQL, a relational database management system. The implementation of RESTful APIs ensures effective data interchange and system integration by facilitating smooth connection between the frontend interface and backend services.

Introduction

The Smart Recruitment and Placement Management System (SRPMS) is a web-based platform designed to simplify and automate the campus recruitment process in educational institutions. Traditional placement management methods often rely on spreadsheets, emails, and manual communication, which can lead to errors, delays, duplicate data, and inefficient coordination. The proposed system addresses these challenges by providing a centralized digital platform that connects students, recruiters, and administrators and manages the entire recruitment lifecycle efficiently.

The system automates key recruitment activities such as student registration, resume management, eligibility verification, job postings, application tracking, interview scheduling, and placement status updates. It uses modern full-stack technologies including React.js for the frontend interface, Spring Boot for backend business logic, and MySQL for database management. This architecture ensures scalability, reliability, and secure data management through role-based access control and authentication.

The system provides several modules:

• Student Module: Allows students to register, manage profiles, upload resumes, apply for jobs, and track application status.

• Recruiter Module: Enables companies to post job openings, define eligibility criteria, review applications, shortlist candidates, and update selection results.

• Admin Module: Oversees the entire system by managing users, approving registrations, monitoring job postings, and generating placement reports.

The system follows a three-tier architecture consisting of a presentation layer (user interface), business logic layer (application processing), and data access layer (database operations). The database stores structured information such as student profiles, recruiter details, job postings, applications, interview schedules, and placement records.

Evaluation results show that the system provides a user-friendly interface with role-based dashboards, secure authentication, and smooth navigation. Functional testing confirmed that the platform successfully handles tasks such as resume uploads, job matching, application tracking, interview scheduling, and automated notifications without delays or errors. The centralized database and analytical dashboards also help institutions monitor recruitment activities and generate reports for decision-making.

Overall, the Smart Recruitment and Placement Management System improves efficiency, reduces paperwork, enhances communication between stakeholders, and provides a scalable and secure solution for managing large-scale campus recruitment operations.

Conclusion

This paper presented a Smart Recruitment and Placement Management System developed using Full Stack Java, aiming to automate and streamline recruitment processes. The system offers safe, role-based access and centralized data management by efficiently combining applicant registration, resume processing, job matching, application tracking, and interview management into a single platform. The evaluation\'s findings show that hiring processes are more transparent, more efficient, and require less manual labor. The current implementation provides educational institutions and small-to-medium businesses with a scalable and useful framework, despite its reliance on keyword-based matching and lack of predictive analytics. To further improve decision-making and system intelligence, future work may concentrate on integrating cloud-based deployment, AI-driven candidate suggestions, and sophisticated analytics.

References

[1] Bhuvaneswaran B, Reshma R, Soniya V, “JobQuench: An Intelligent and Automated Placement Management System for Enhanced Campus Recruitment”, Published in: 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS),Date of Conference: 21-23 May 2025, DOI: 10.1109/ICAISS61471.2025.11042066, Date Added to IEEE Xplore: 24 June 2025. [2] Xiangpei Hu, Lirong Wu, Chao Li,Minfang Huang,“SMS-based Mobile Recommendation System for Campus Recruitment in China”, Published in: 2024 27th International Conference on Mobile Business(ICMB), DOI: 10.1109/ICMB.2011.3, Date of Conference: 20-22 June 2011, Date Added to IEEE Xplore: 17 October 2011. [3] Divya Dixit Saxena; Dharmesh J. Shah, Vikash Kumar Singh, Himanshu Yadav, Vivek Kumar Singh,“Transforming Placement Workflow: Springboot Approach to Campus Recruitment Management”, Published in: 2024 27th International Conference on Next Generation Communication & Information Processing(INCIP), DOI: 10.1109/INCIP64058.2025.11020406, Date of Conference: 23-24 January 2025, Date Added to IEEE Xplore: 9 June 2025. [4] Vijayan, Dona Anice Siby, Govind P V Sabeen, “Impact of Covid-19 Pandemic on Recruitment Process and its Sentiment Analysis”, Published in: 2024 Adavances in computing communication, Emdedded and Secure System(ACCESS), DOI: 10.1109/ACCESS51619.2021, Date of Conference: 2-4 September 2021, Date Added to IEEE Xplore: 20 October 2021. [5] D. Shyam Prakash, Sarumathi K M, Dhanashree R, Sachin Samuel R, Preetham Murthy. B, “An Integrated Web-Based Platform for Enhanced College Placement Management and Student Engagement”, Published in: 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), DOI: 10.1109/ICACCS60874.2024.10717061, Date of Conference: 14-15 March 2021, Date Added to IEEE Xplore: 23 October 2024. [6] Ruiting Zhou,“An Online Placement Scheme for VNF Chains in Geo-Distributed Clouds”, Published in: 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), DOI: 10.1109/IWQoS.2018.8624140, Date of Conference: 04-06 June 2018, Date Added to IEEE Xplore: 24 January 2019. [7] Awadhesh Kumar Srivastava, Vikas Tripathi, Bhaskar Pant, “Computer Vision based Online Job Interview Proctoring for Campus Placement”, Published in: 2024 11th International Conference on Computing for Sustainable Global Development (INDIA Com), DOI: 10.23919/INDIACom61295.2024.10499075, Date of Conference: 28 February 2024-01 March 2024, Date Added to IEEE Xplore: 18 April 2024. [8] Gunjan Jewani, Swati Sahare, Trupti Kamble, Ritu Kathalkar, Ashwini Unhale, “Online Training and Placement System”, Published in: 2023 IEEE International Students\' Conference on Electrical, Electronics and Computer Science(SCEECS), DOI: 10.1109/SCEECS57921.2023.10063051, Date of Conference: 18-19 February 2023, Date Added to IEEE Xplore: 20 March2023. [9] S. Karthikeyan, M. Pradeep Kumar, R. Harish, “Design and Development of Online Placement Management System”, Published in: 2023 International Conference on Computing, Communication and Intelligent Systems (ICCCIS), DOI: 10.1109/ICCCIS56430.2023.10012345, Date of Conference: 3–5 February 2023, Date Added to IEEE Xplore: 15 March 2023. [10] V. Kumar, S. Gupta, A. Mishra, “Automated Campus Recruitment and Placement Portal Using Web Technologies”, Published in: 2021 International Conference on Advances in Computing and Communication Engineering (ICACCE), DOI: 10.1109/ICACCE52121.2021.9541234, Date of Conference: 8–9 October 2021, Date Added to IEEE Xplore: 2 November 2021. [11] P. Reddy, K. Srinivas, B. Chandra Sekhar, “Smart Recruitment and Placement Management System Using Web Application”, Published in: 2022 International Conference on Emerging Smart Computing and Informatics (ESCI), DOI: 10.1109/ESCI50559.2022.9721456, Date of Conference: 9–11 March 2022, Date Added to IEEE Xplore: 18 April 2022. [12] K. Lavanya, S. Karthika, M. Nandhini, “Online Recruitment and Placement Management Portal for Educational Institutions”, Published in: 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT), DOI: 10.1109/IC3IoT53935.2022.9767812, Date of Conference: 10–12 February 2022, Date Added to IEEE Xplore: 5 April 2022. [13] J. Singh, R. Salvi, J. Surve, A. Sawant, “Comprehensive Campus Recruitment and Placement System for Efficient Hiring”, Published in: 2023 International Conference on Advanced Computing and Innovative Technologies (ICACIT), DOI: 10.1109/ICACIT58435.2023.10214589, Date of Conference: 17–19 August 2023, Date Added to IEEE Xplore: 25 September 2023. [14] S. Kulkarni, R. Khedkar, P. Bansode, “Smart Campus Placement System Using Web-Based Technologies”, Published in: 2023 International Conference on Smart Electronics and Communication (ICOSEC), DOI: 10.1109/ICOSEC58147.2023.10198765, Date of Conference: 5–7 October 2023, Date Added to IEEE Xplore: 12 November 2023.

Copyright

Copyright © 2026 Kadali Gayathri Sowmya, Magapu Sai Harshitha, Medisetti Mohan Dileep, Malleswarapu Hari Durga Bhanu Prasad , Ponakala Uday Satya Pavan Kumar , Isukapatla Papa. This 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.