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

Ratn Priya Gupta

doi:10.5281/zenodo.19980016

April 30, 2026Open Access

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

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Key Points

The research aims to develop an AI system that automates the job recruitment process by improving the accuracy of job matching.
Developed an AI-based job recommendation system using NLP and machine learning techniques.
Analyzed resumes to extract features like skills, education, and experience.
Matched these features with job descriptions using TF-IDF and cosine similarity.
Improved accuracy in job matching as compared to traditional methods, with a quantifiable increase in efficiency.

Implication

Demonstrates improved job matching accuracy using NLP techniques in resume analysis, suggesting enhanced recruitment efficiency.

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.

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Cite This Study

Ratn Priya Gupta (2026) studied this question.

synapsesocial.com/papers/69f838453ed186a73998276c https://doi.org/10.5281/zenodo.19980016

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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