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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49553
Volume:
9 |
6 |
Jun 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.
This project develops a resume analysis system using Natural Language Processing (NLP) to streamline hiring. Companies often receive large volumes of resumes, making it challenging to identify the best candidates quickly. Manually screening resumes is time-consuming, can be inconsistent, and may overlook key details. By automating this process with NLP, our system reads and evaluates resumes efficiently. It extracts key information like skills, experience, and education to match candidates to job requirements. For example, if a job requires a specific skill, the system can highlight candidates with that qualification. NLP algorithms can recognize relevant
KEYWORDS
Publication Date
6/5/2025
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.
Funding Information
No funding information available for this research.
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