https://github.com/karimosman89/resume-screening

Screen resumes to identify the best candidates.Build a machine learning model that screens resumes and ranks candidates based on job descriptions.Streamline the hiring process for HR departments by automating candidate screening.
https://github.com/karimosman89/resume-screening

machine-learning-algorithms nlp-machine-learning nltk-python python scikit-learn spacy text-processing

Last synced: 20 days ago
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Screen resumes to identify the best candidates.Build a machine learning model that screens resumes and ranks candidates based on job descriptions.Streamline the hiring process for HR departments by automating candidate screening.

• Host: GitHub
• URL: https://github.com/karimosman89/resume-screening
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T12:21:42.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-05T14:31:04.000Z (2 months ago)
• Last Synced: 2024-11-05T15:33:33.435Z (2 months ago)
• Topics: machine-learning-algorithms, nlp-machine-learning, nltk-python, python, scikit-learn, spacy, text-processing
• Language: Python
• Homepage:
• Size: 13.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Automated Resume Screening

This project screens resumes to identify the best candidates.

## Overview

The system ranks resumes based on job descriptions.

## Dataset

- Synthetic or public resume datasets

## Setup

Install dependencies:

    pip install -r requirements.txt

## Usage

- Run the resume parser:

      `python src/resume_parser.py`

- Train the model:

         `python src/model.py`