AI-Based Job Recommendation System Using Resume Analysis and Hybrid NLP Techniques

This research presents an AI-Based Job Recommendation System using Natural Language Processing (NLP) and Machine Learning techniques. The system analyzes resumes, extracts key features such as skills, education, and experience, and matches them with job descriptions using TF-IDF and cosine similarity. The aim is to automate the recruitment process and improve job matching accuracy.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-30
DOI
https://doi.org/10.5281/zenodo.19980016
Primary Topic
AI and HR Technologies
Type
article
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article

AI-Based Job Recommendation System Using Resume Analysis and Hybrid NLP Techniques

Ratn Priya Gupta
Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
article

AI-Based Job Recommendation System Using Resume Analysis and Hybrid NLP Techniques

Ratn Priya Gupta
article en

Abstract

This research presents an AI-Based Job Recommendation System using Natural Language Processing (NLP) and Machine Learning techniques. The system analyzes resumes, extracts key features such as skills, education, and experience, and matches them with job descriptions using TF-IDF and cosine similarity. The aim is to automate the recruitment process and improve job matching accuracy.

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Technology Kanpur (IN)
Openalex Percentile: Top 5%
AI and HR Technologies
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