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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM57239
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rapid growth in job applications has made manual resume screening a time- consuming and inefficient task for Human Resource (HR) professionals. To address this challenge, this paper proposes an AI-powered resume ranking system designed to enhance HR efficiency and support smart talent acquisition. The proposed system analyzes multiple candidate resumes for specific job roles and evaluates them based on skills,
KEYWORDS
Publication Date
7/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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