AI Powered Resume and Job Description Matcher

The AI-Powered Resume and Job Description Matcher is an AI tool matches job seekers to roles by analyzing resumes and job posts through NLP methods - built using Flask for backend operations. Instead of keywords, it grasps context via Sentence-BERT which turns document text into numerical vectors after processing PDF uploads containing either single or multiple job details. To assess fit, cosine similarity calculates alignment scores between applicant profiles and openings, producing a percent match per role so users see compatibility at a glance. It underlines overlapping abilities along with gaps while pulling out employer names and related data points during analysis. A clear dashboard displays outcomes visually: showing how scores spread across jobs plus overall matching trends overviews. Automation cuts down human review effort significantly; improves precision in shortlisting candidates compared to traditional ways of sorting applications manually.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-17
DOI
https://doi.org/10.5281/zenodo.18666857
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Powered Resume and Job Description Matcher

H. Vathsala, Kaveri, Rajeshwari H. M., Savani. C. Patil
Zenodo (CERN European Organization for Nuclear Research)
Expert finding and Q&A systems
article

AI Powered Resume and Job Description Matcher

H. Vathsala, Kaveri, Rajeshwari H. M., Savani. C. Patil
article en

Abstract

The AI-Powered Resume and Job Description Matcher is an AI tool matches job seekers to roles by analyzing resumes and job posts through NLP methods - built using Flask for backend operations. Instead of keywords, it grasps context via Sentence-BERT which turns document text into numerical vectors after processing PDF uploads containing either single or multiple job details. To assess fit, cosine similarity calculates alignment scores between applicant profiles and openings, producing a percent match per role so users see compatibility at a glance. It underlines overlapping abilities along with gaps while pulling out employer names and related data points during analysis. A clear dashboard displays outcomes visually: showing how scores spread across jobs plus overall matching trends overviews. Automation cuts down human review effort significantly; improves precision in shortlisting candidates compared to traditional ways of sorting applications manually.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 67%
Expert finding and Q&A systems
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