Resume Matcher
Overview
resume_matcher
is an innovative npm package designed to enhance recruitment processes by automating the comparison of resumes with job descriptions. Utilizing advanced natural language processing (NLP) techniques, this tool extracts relevant keywords from job descriptions (JD) and resumes, focusing on essential criteria and omitting common stop words. It computes a match percentage that quantifies the relevance of a resume to a specific job description, enabling efficient pre-screening and boosting job matching accuracy.
Ideal for job boards, recruitment software, and HR technology platforms, resume_matcher
aims to streamline hiring workflows and improve candidate-job alignment.
This project is supported by ResumeUp.AI, a platform dedicated to empowering job seekers with powerful tools for creating professional resumes.
Features
- Keyword Extraction: Leverages NLP to focus on significant keywords by filtering out stop words.
- Match Calculation: Provides a numerical match percentage, quantifying how closely a resume aligns with the job requirements.
- Ease of Use: Designed for easy integration into existing systems with minimal setup required.
- Customization: Supports configurable thresholds and parameters to tailor the tool to specific recruitment needs.
Installation
Install resume_matcher
using npm:
npm install resume_matcher
Usage
Here’s how to use resume_matcher
to compare a resume against a job description:
const resumeMatcher = require('resume_matcher');
const resumeText = 'Experienced software engineer with expertise in JavaScript and Python.';
const jobDescription = 'Looking for a Python developer with a deep understanding of algorithms.';
const matchPercentage = resumeMatcher.calculateMatch(resumeText, jobDescription);
console.log(`Match Percentage: ${matchPercentage}%`);
Contributing
Contributions to resume_matcher
are welcome! Here are a few ways you can contribute:
- Reporting issues
- Suggesting enhancements
- Sending pull requests
Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests to us.
Authors
License
This project is licensed under the ISC License - see the LICENSE.md file for details.