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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Smart Hire An AI-Driven Approach to a Smarter Requirement
Authors
Dr. Ashish Manwatkar, Harshali Bodkhe, Pradip Jadhav, Namrata Kadam, Karan Sawant, Sudesh Karale
Keywords
Resume Matching, Recruitment, Machine Learning, Natural Language Processing, TF-IDF, BERT
Abstract
The hiring process is often time-consuming and inefficient, as recruiters must manually review large volumes of resumes to identify suitable candidates. This paper proposes an AI-powered Resume Matcher system that leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to automate resume-job description matching. The system extracts key features from resumes and job postings, applies vectorization methods such as TF-IDF and BERT embeddings, and employs matching algorithms to generate compatibility scores. Experimental results demonstrate that the proposed system achieves an accuracy of over 92% in candidate-job matching, significantly reducing recruitment time and improving hiring efficiency. This work highlights the potential of AI to transform recruitment by providing fair, scalable, and efficient solutions.
IJCRT's Publication Details
Unique Identification Number - IJCRTBH02005
Paper ID - 295209
Page Number(s) - 22-26
Pubished in - Volume 13 | Issue 10 | October 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr. Ashish Manwatkar, Harshali Bodkhe, Pradip Jadhav, Namrata Kadam, Karan Sawant, Sudesh Karale, "Smart Hire An AI-Driven Approach to a Smarter Requirement", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.22-26, October 2025, Available at :http://www.ijcrt.org/papers/IJCRTBH02005.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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