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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43667

Skill Match AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43667

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

GAV

Ghige Aditya Vilas

GJG

Golhe Jayesh Ganesh

PKA

Patrawala Khalid Ayaz

MSS

Miss Shubhangi Soni

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Abstract

This paper presents Skill Match AI, an intelligent system designed to analyze resumes and match candidates with suitable job positions based on their skills, experience, and qualifications. The system leverages natural language processing and machine learning techniques to extract relevant information from resumes, categorize skills, and evaluate the suitability of candidates for specific job requirements. Our approach addresses the challenges of manual resume screening, including time inefficiency, unconscious bias, and inconsistent evaluation criteria. Experimental results show that Skill Match AI achieves a 87.5% accuracy in skill extraction and a 82.3% precision in candidate-job matching, outperforming traditional

KEYWORDS

based systems. The system demonstrates significant potential for streamlining the recruitment process and improving hiring outcomes across various industries

Cite This Article

Ghige Aditya Vilas, Golhe Jayesh Ganesh, Patrawala Khalid Ayaz, Miss Shubhangi Soni, "Skill Match AI," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

4/4/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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