International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
HIRESENSE: AI-DRIVEN TALENT MATCHER
| Author(s) | Dr. Manojpraphakar T, Mr. Akshay Karthik S, Ms. Bhavatarini A S, Ms. Darsini C S, Mr. Dhanush Kumar B |
|---|---|
| Country | India |
| Abstract | In today’s fast-evolving job market, the "Hiresense: Ai-Driven Talent Matcher " addresses key hiring challenges by leveraging Google’s Gemini AI to match resumes with job descriptions, offering a cumulative score and section-wise feedback. It performs skill gap analysis and provides tailored resume improvement tips for job seekers while automating shortlisting for recruiters, reducing bias and time. Built with React, Node.js, and MongoDB, the platform delivers a scalable, secure, and efficient recruitment experience. |
| Keywords | Resume Analysis, Artificial Intelligence, Skill Gap Detection, Semantic Matching, Automated Recruitment, Natural Language Processing |
| Field | Engineering |
| Published In | Volume 7, Issue 5, September-October 2025 |
| Published On | 2025-09-25 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i05.56341 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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