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An intelligent NLP-powered system that parses resumes (PDF/DOCX), analyzes their content, and ranks them based on a job description using TF-IDF and cosine similarity. Ideal for HR tools, automation, and recruiters

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Name		Name	Last commit message	Last commit date
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README.md		README.md
job_description.txt		job_description.txt
rank_resumes.py		rank_resumes.py
requirements.txt		requirements.txt

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AI Resume Ranker

This project uses Natural Language Processing (NLP) to analyze and rank resumes based on their relevance to a given job description.

Features

Parses resumes (PDF/DOCX)
Extracts named entities and skills
Matches resumes to a given job description
Outputs ranked results with scoring

Installation

pip install -r requirements.txt

Usage

Place all resumes in the resumes/ folder.
Provide a job description text file as job_description.txt.
Run the script:

python rank_resumes.py

Check results.csv for ranked output.

Requirements

Python 3.8+
spaCy
pdfminer.six
python-docx

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An intelligent NLP-powered system that parses resumes (PDF/DOCX), analyzes their content, and ranks them based on a job description using TF-IDF and cosine similarity. Ideal for HR tools, automation, and recruiters

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Python 100.0%