Intelligent Resume Analysis And Job Fit Assessment System

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Reethu K; Sandeep S Naik; Anvitha G Rao; Kripa K; Krithi K

Intelligent Resume Analysis And Job Fit Assessment System

Authors: Reethu K, Sandeep S Naik, Anvitha G Rao, Kripa K, Krithi K

Unique Paper ID: 171767
Volume: 11
Issue: 8
PageNo: 921-926

Keywords: resume machine learning NLP KNN cosine similarity feedback.

Abstract:
The "Intelligent Resume Analysis and Job Fit Assessment System" presents an opportunity to improve and automate the recruitment process through intelligent methods of resume analysis and evaluating job compatibility. Given the huge number of job applicants exponentially increasing, companies have encountered inefficiency in handling manually sifted resumes. We propose a system that uses Machine Learning and Natural Language Processing techniques to automate resume parsing and assess job fit. The system will use TF-IDF to extract meaningful keywords from resumes and job descriptions, and K-Nearest Neighbours to match resumes with the most suitable job roles based on the alignment of skills and experience. Moreover, Cosine Similarity is used in the measurement of similarity of resume and job description with which the prediction of job fit gets even more accurate.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 921-926

Intelligent Resume Analysis And Job Fit Assessment System

Available:https://ijirt.org/article?manuscript=171767

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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