Revolutionizing University Placements: Advanced Technologies for Streamlined and Student-Centric Ecosystems

N. V. S. Sanjana, Mekala Varun, M. Greeshma, Gurupriya M., Gayathri Ramaswamy

2025

Abstract

A university placement cell plays an important catalyst in bringing students for the job market through campus placement but as jobs are limited only for a few students and directly optimising it will be a challenging task stating that the optimised one will need the state of art technologies that interspersed and work efficiently to produce better results. Machine learning and reinforcement learning are helpful in aids deciding personalised routes to training, while cutting-edge patterns recognitions research is employed to scan resumes. “Using secure portals, we supplement our cyber risk with machine learning-based fraud detection so users can have trust and confidence when placing orders. In addition, powerful algorithms for dynamic job matching link students with pertinent job opportunities, considering shifts in individual skill set as well as preferences and employer needs, promoting efficiency and accuracy in recruitment. All these innovations together create a seamless, student centric technology ecosystem that fill the gap between academic preparation and industry expectation.

Paper Citation

in Harvard Style

Sanjana N., Varun M., Greeshma M., M. G. and Ramaswamy G. (2025). Revolutionizing University Placements: Advanced Technologies for Streamlined and Student-Centric Ecosystems. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 83-88. DOI: 10.5220/0013877200004919

in Bibtex Style

@conference{icrdicct`2525,
author={N. Sanjana and Mekala Varun and M. Greeshma and Gurupriya M. and Gayathri Ramaswamy},
title={Revolutionizing University Placements: Advanced Technologies for Streamlined and Student-Centric Ecosystems},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={83-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013877200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Revolutionizing University Placements: Advanced Technologies for Streamlined and Student-Centric Ecosystems
SN - 978-989-758-777-1
AU - Sanjana N.
AU - Varun M.
AU - Greeshma M.
AU - M. G.
AU - Ramaswamy G.
PY - 2025
SP - 83
EP - 88
DO - 10.5220/0013877200004919
PB - SciTePress