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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57050
Volume:
10 |
2 |
Feb 2026
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 current hiring process is full of problems, making it hard for recruiters to handle a lot of applications by hand and leaving job seekers without the right tools to prepare for specific roles. To fix this, we’re introducing a “EvalHire: Unified Platform for Job-Specific Candidate Screening and Preparation”. This smart system is designed to make the hiring process smoother and better. Built on the MERN stack, the platform uses advanced Generative AI and Natural Language Processing through LangChain and Transformer models. For job candidates, the system includes a semantic resume analyzer that gives useful feedback based on job descriptions and a dynamic AI-powered mock interview coach that offers in-depth performance reviews. Recruiters get a comprehensive dashboard that brings all this data together, helping them make faster, more informed, and fairer initial screening decisions. This project aims to build a connected environment that connects how candidates prepare with how recruiters evaluate, creating a more efficient and open job market.
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Publication Date
2/28/2026
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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