ResumeScorer

ResumeScorer is a Python-based application designed to automate the evaluation of resumes. By extracting relevant information from resumes and comparing it against predefined criteria, the tool assigns a score to each resume, aiding recruiters in the screening process.

Features

• Resume Parsing: Utilizes natural language processing techniques to extract key information such as skills, experience, and education from resumes.
• Scoring Mechanism: Compares extracted information against predefined criteria to assign a relevance score to each resume.
• Data Extraction Modules: Modular design for extracting data, allowing easy customization and extension.
• Helper Methods: Utility functions to support data processing and scoring operations.

Project Structure

The repository is organized as follows:

• .idea/: IDE-specific settings and configurations.
• Contracts/: Defines interfaces and contracts used across the application.
• DataExtractors/: Modules responsible for extracting data from resumes.
• DependencyInjection/: Manages dependencies and their injections throughout the application.
• HelperMethods/: Contains utility functions to support various operations.
• Models/: Data models representing the structure of extracted information.
• data/: Directory intended for storing sample resumes and related data files.
• RequirementInstaller.ipynb: Jupyter Notebook for installing required dependencies.
• ResumeScreener.ipynb: Jupyter Notebook demonstrating the resume screening process.
• ResumeScreener.py: Main script to run the resume screening application.
• app.py: Entry point for the application.
• requirements.txt: Lists all Python dependencies required to run the application.

Installation

To set up the ResumeScorer application on your local machine, follow these steps:

1. Clone the Repository:

   git clone https://github.com/rahulvictor12/ResumeScorer.git
   

2. Navigate to the Project Directory: cd ResumeScorer

3. Create a Virtual Environment (optional but recommended): python3 -m venv venv source venv/bin/activate # On Windows, use 'venv\Scripts\activate'

4. Install Dependencies: pip install -r requirements.txt

Usage

After installation, you can use the ResumeScorer application as follows:

Import and Install neccesary Dependencies. Run the Application: python app.py

Upload the Job Description and Resume You wish to score.

This will process the resume in the ResumeScreener.py and output scores based on the predefined criteria.

Contributing

Contributions to ResumeScorer are welcome! To contribute:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes and commit them with descriptive messages.
4. Push your changes to your fork.
5. Submit a pull request to the main repository.

Acknowledgments

We appreciate the contributions of all developers and maintainers of the open-source libraries used in this project.

This README.md provides a comprehensive overview of the ResumeScorer project, including its features, structure, installation instructions, usage guidelines, contribution steps, license information, and acknowledgments. ::contentReference[oaicite:0]{index=0}