Intelligent AI‑Based Resume Screening and Ranking Framework for Unbiased and Scalable Recruitment Automation

A. Sabarirajan, G. Chandramowleeswaran, D. Thamizharasi, S. Susendiran, G. Priyadharshini, Syed Hauider Abbas

2025

Abstract

In this work, we introduce a smart AI recruitment resume screening and ranking system, which focuses on how to efficiently automate the process of shortlisting over a large scale of resumes, with fairness. Using the power of natural language processing and deep learning models, it assesses resumes on more than simply matching keywords, including contextual understanding, skill relevance, and candidate-job fit. Through combining explainable AI techniques and real-world dataset assessment, it tackles common issues encountered from existing systems like bias, opaque lack of transparency and poor scalability. The approach improves recruiting effectiveness and guarantees ethical behaviour due to transparent decision-making and adaptive learning. Moreover, extensive experiments show that our model can increase the shortlisting accuracy and reduce the recruiter workload, providing a sustainable and inclusive solution to modern hiring challenges.

Paper Citation

in Harvard Style

Sabarirajan A., Chandramowleeswaran G., Thamizharasi D., Susendiran S., Priyadharshini G. and Abbas S. (2025). Intelligent AI‑Based Resume Screening and Ranking Framework for Unbiased and Scalable Recruitment Automation. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 158-164. DOI: 10.5220/0013859500004919

in Bibtex Style

@conference{icrdicct`2525,
author={A. Sabarirajan and G. Chandramowleeswaran and D. Thamizharasi and S. Susendiran and G. Priyadharshini and Syed Abbas},
title={Intelligent AI‑Based Resume Screening and Ranking Framework for Unbiased and Scalable Recruitment Automation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={158-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013859500004919},
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 - Volume 1: ICRDICCT`25
TI - Intelligent AI‑Based Resume Screening and Ranking Framework for Unbiased and Scalable Recruitment Automation
SN - 978-989-758-777-1
AU - Sabarirajan A.
AU - Chandramowleeswaran G.
AU - Thamizharasi D.
AU - Susendiran S.
AU - Priyadharshini G.
AU - Abbas S.
PY - 2025
SP - 158
EP - 164
DO - 10.5220/0013859500004919
PB - SciTePress