STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advanced Database Management & Systems Review Article

A Development of Web Based Placement Management System for Campus Recruitment

  1. Sachin Shukla Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College Engineering (affiliated to Savitribai Phule Pune University), Pune
  2. S.K. Shinde Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College Engineering (affiliated to Savitribai Phule Pune University), Pune
  3. Komal Jiwatode Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College Engineering (affiliated to Savitribai Phule Pune University), Pune
  4. Utkarsh Somvanshi Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College Engineering (affiliated to Savitribai Phule Pune University), Pune

Abstract

The Placement Management System introduces an innovative platform aimed at addressing the intricacies of contemporary recruitment within the sphere of graduating final-year students. The rationale behind this initiative is to streamline campus placement procedures through the incorporation of technological advancements, thereby bolstering communication, coordination, and decision making among students, educational institutions, and prospective employers. This approach encompasses the creation of a holistic system facilitating students in crafting detailed profiles, submitting job applications, and receiving automated notifications concerning interview scheduling and outcomes. Moreover, the system integrates advanced data analytics to provide actionable insights, enhancing decision-making processes for both students and employers. The principal outcomes of this system include heightened administrative efficiency, amplified student exposure to potential employers, and enriched decision-making processes underpinned by data-centric insights. By leveraging cutting-edge technology, the system also offers features such as real-time tracking of application statuses, personalized job recommendations, and seamless interaction channels between all stakeholders involved. In essence, this platform not only simplifies the logistical aspects of campus recruitment but also enhances the overall experience for students, making them more competitive in the job market. In summary, this Placement Management System proffers a paradigm-shifting solution, thereby redefining campus recruitment dynamics toward optimized and more effective outcomes, ensuring that the transition from education to employment is as smooth and efficient as possible.

Keywords

References (10)

  1. Sunny A, Felix A, Saji A, Sebastian C, Praseetha VM. Placement management system for campus recruitment. Int J Innov Sci Res Technol. 2020;5(5):1705–10.
  2. Hanshida P, Pius S, Kunhali Y. MSN. Placement management system for campus recruitment. Int J Adv Res Innov Ideas Educ. 2022;8:1710–5.
  3. Rizvi FT. Placement Management System. International Journal for Research in Applied Science and Engineering Technology. 2021;9(1):69-76. doi:10.22214/ijraset.2021.32641
  4. Padwal S, Ghorpade S, Patil PR, Patil M, Biraje S, Salunkhe S. E-training and placement management system. Int Res J Mod Eng Technol Sci. 2022;4(6):4324-29.
  5. Patil SS, Kothari R, Goel R, Chauhan PS. Automation of conventional training & placement management system. IRACST Int J Comput Sci Inf Technol Secur. 2017;7(2):54–7.
  6. Thoma C, Labrinidis A, Lee AJ. Automated operator placement in distributed data stream management systems subject to user constraints. 2014 IEEE 30th International Conference on Data Engineering Workshops (ICDEW). Chicago, IL, USA: IEEE; 2014. p. 310–6.
  7. Gupta S, Hingwala A, Haryan Y, Gharat S. Recruitment System with Placement Prediction. 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). 2021:669-673. doi:10.1109/icais50930.2021.9395768
  8. Swathi J, PriyaTharsini K, Janani SS, Chakkaravarthy GV. Training and placement cell application. Int Res J Eng Technol. 2018;5(3):2422–24.
  9. Banu A, DM SK. A concise study on Placement Management System. Int J Comput Tech. 2022;9:187–92.
  10. Pandithurai O, Jayashree D, Aarthy DK, Jaishree R, Bhavani K, Dharani T. Smart Job Recruitment Automation Using Location Based Filtering. 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). 2021:1-4. doi:10.1109/icaeca52838.2021.9675548
Support