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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43227
Volume:
9 |
3 |
Mar 2025
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.
In an era where hiring biases persist and traditional recruitment methods remain inefficient, CredMatch redefines candidate evaluation through AI-powered resume parsing. Leveraging cutting-edge Natural Language Processing and fuzzy matching techniques, our system transforms raw, unstructured resume data into actionable insights by accurately extracting technical skills, educational background, and professional experience—without being influenced by demographic details. By focusing solely on merit, CredMatch fosters fair recruitment practices and streamlines the hiring process, enabling organizations to identify top talent with unprecedented speed and precision. This paper details the theoretical foundations, advanced algorithms, and comprehensive evaluation metrics that drive CredMatch, demonstrating its potential to revolutionize HR technology and promote equity in hiring.
KEYWORDS
Publication Date
3/28/2025
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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