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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43227

CredMatch

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43227

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43227

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.

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Authors

SAS

Surabhi Abhijit Salunke1

DROG

Dr. Rakhi O. Gupta2

NG

Nashrah Gowalker3

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Abstract

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

AI-powered resume parsing Natural Language Processing (NLP) fuzzy matching fair recruitment skill extraction bias mitigation automated resume analysis machine learning in HR.

Cite This Article

Surabhi Abhijit Salunke1, Dr. Rakhi O. Gupta2, Nashrah Gowalker3, "CredMatch," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43227

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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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