MRI
MRI India Journals Vol. 14 No. 1 (2025)

Campus Recruitment System using Machine Learning

Authors

  • J. N.  Ekatpure Assistant Professor, S. B. Patil College of Engineering
  • Sneha Dhanaji Mohite Department of computer Engineering, Savitribai Phule Pune University
  • Akanksha Ankush Shinde Department of computer Engineering, Savitribai Phule Pune University
  • Nikita Bibhishan Shirkande Department of computer Engineering, Savitribai Phule Pune University
  • Vaishnavi Vikram Upase Department of computer Engineering, Savitribai Phule Pune University

DOI:

https://doi.org/10.65521/ijacte.v14i1.553

Keywords:

Machine Learning Artificial Intelligence Talent Acquisition

Abstract

In the past, the degree of knowledge and skills the students acquired over such time was used to assess the success of higher education. Yet as time went on, the effects of globalization and the significant increase in employment in the IT sector altered the situation, leading to the appearance of a new higher education model that includes campus placement as the capstone of its higher education offerings. In recent years, institutions have been ranked according to the number of successful job placements they have made on campus during a given year and their average pay. This has led to considering institutional obligation and campus placement for successful students. A new higher education model that uses campus placement as the cornerstone of its higher education programs has emerged due to the consequences of globalization and the significant expansion in employment in the IT industry over time Keywords.

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Published

2025-06-01

How to Cite

Ekatpure, J. N., Mohite, S. D., Shinde, A. A., Shirkande, N. B., & Upase, V. V. (2025). Campus Recruitment System using Machine Learning. International Journal on Advanced Computer Theory and Engineering, 14(1), 330–333. https://doi.org/10.65521/ijacte.v14i1.553

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