AI-Based Resume Screening and Job Recommendation System Using Natural Language Processing

This research paper presents an AI-based resume screening and job recommendation system using Natural Language Processing. The proposed web-based system processes resume information, identifies relevant skills, compares candidate skills with job requirements, provides job recommendations, identifies potential skill gaps, and supports job application and tracking. The system is developed using Python, Flask, SQLite, HTML, CSS, JavaScript, and NLP-based text processing techniques.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23017857
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Based Resume Screening and Job Recommendation System Using Natural Language Processing

Om Hareshwar Patil, Akanksha Ganesh Patil, Kalpesh Vetale
Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

AI-Based Resume Screening and Job Recommendation System Using Natural Language Processing

Om Hareshwar Patil, Akanksha Ganesh Patil, Kalpesh Vetale
article en

Abstract

This research paper presents an AI-based resume screening and job recommendation system using Natural Language Processing. The proposed web-based system processes resume information, identifies relevant skills, compares candidate skills with job requirements, provides job recommendations, identifies potential skill gaps, and supports job application and tracking. The system is developed using Python, Flask, SQLite, HTML, CSS, JavaScript, and NLP-based text processing techniques.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 4%
Internet of Things and AI
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AI-Based Resume Screening and Job Recommendation System Using Natural Language Processing — Om Hareshwar Patil, Akanksha Ganesh Patil, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS