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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47414
Volume:
9 |
5 |
May 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.
The fast-paced changing job market creates serious challenges in talent attraction, requiring more effective and data-centric methods to automate the recruitment process. This paper introduces JobPathway, a full-fledged MERN stack application to maximize talent attraction using AI-driven resume parsing and job and profile reminder personalization. Utilizing sophisticated machine learning algorithms, JobPathway processes candidate profiles, identifies them with suitable job openings, and provides timely alerts in order to increase interactions and avoid lost opportunities. Further, the platform is envisioned to have quiz and interview planning functionalities so that recruiters and candidates can conduct the entire recruitment process in one integrated interface. This paper describes the system architecture, main components, and possible effect of JobPathway in improving recruitment efficiency and user experience.
KEYWORDS
Publication Date
9/4/2025
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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