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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM38083
Volume:
8 |
10 |
Oct 2024
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.
Finding the right candidate in today’s competitive job market is not easy. Manually going through resumes takes a lot of time and can easily lead to mistakes. This project introduces a smarter way to handle resumes by using technologies like Natural Language Processing (NLP), Machine Learning (ML), to streamline and enhance candidate selection. We built a system that reads resumes automatically, analyzes skills and experience, and shows important information visually. Using dashboards, recruiters can easily filter, compare, and select candidates. Our tests showed that recruiters became 40% faster and more accurate at shortlisting candidates. This project offers a scalable and modern solution to improve the recruitment process.
KEYWORDS
Publication Date
6/13/2025
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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