Overview:

Resume Matcher is an AI-based free and open-source tool designed to help tailor resumes to job descriptions. By analyzing keywords and providing insights, Resume Matcher aims to improve the readability of resumes and increase the chances of passing Applicant Tracking System (ATS) screenings.

Features:

• AI-Based: Utilizes machine learning algorithms to analyze resumes and job descriptions.
• Keyword Extraction: Extracts relevant keywords from job descriptions to enhance resume matching.
• Textacy Analysis: Identifies key terms and themes in job descriptions to provide context.
• Vector Similarity: Measures resume-job description similarity using FastEmbedd for ATS compatibility.
• Easy Installation: Step-by-step guide to set up the application environment.

Installation:

1. Fork the repository.
2. Clone the forked repository.
3. Create a Python Virtual Environment.
   • Using virtualenv for environment setup.
   • Activate the Virtual Environment on Windows, macOS, or Linux.
4. OPTIONAL (For pyenv users): Run the application with pyenv.
5. Build dependencies (on Ubuntu) using pyenv.
6. Install desired Python version and virtual environment.
7. Prepare Data:
   • Place resumes in PDF format in the Data/Resumes folder.
   • Place job descriptions in PDF format in the Data/JobDescription folder.
8. Parse Resumes to JSON.
9. Run the Application locally.

Summary:

Resume Matcher is a powerful tool that leverages AI and machine learning to enhance resume-job description matching. By extracting keywords, identifying key terms, and measuring vector similarity, it provides valuable insights to tailor resumes effectively. The step-by-step installation guide ensures users can easily set up the application environment to optimize their resume writing and job application process.