ResumeGen

ResumeGen is a tool designed to scan resumes and check for specific keywords, helping users optimize their resumes for applicant tracking systems (ATS) and improve their chances of getting noticed by recruiters.

Features

• Keyword Analysis: Scans resumes to identify the presence of specified keywords.
• ATS Optimization: Assists in tailoring resumes to be more ATS-friendly by highlighting missing or underused keywords.

Installation

To set up ResumeGen locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/vikchaudhary/resumegen.git
   cd resumegen

2. Set Up the Backend:

   • Navigate to the backend directory:

     cd backend

   • Create a virtual environment:

     python3 -m venv venv
     source venv/bin/activate  # On Windows, use venv\Scripts\activate

   • Install the required Python packages:

     pip install -r requirements.txt

   • Start the backend server:

     python app.py

3. Set Up the Frontend:

   • Navigate to the frontend directory:

     cd ../frontend

   • Install the required Node.js packages:

     npm install

   • Start the frontend application:

     npm start

The application should now be running locally. Access the frontend interface through your web browser to upload and analyze your resume.

Usage

1. Upload Your Resume: Use the frontend interface to upload your resume in a supported format (e.g., PDF or DOCX).

2. Keyword Analysis: The application will scan your resume and provide feedback on the presence of specified keywords.

3. Optimize Your Resume: Based on the analysis, adjust your resume to include relevant keywords to improve its ATS compatibility.

Contributing

Contributions are welcome! If you'd like to contribute to ResumeGen, please follow these steps:

1. Fork the repository.

2. Create a new branch:

   git checkout -b feature-branch

3. Make your changes and commit them:

   git commit -m "Description of changes"

4. Push to the branch:

   git push origin feature-branch

5. Open a pull request detailing your changes.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgements

Special thanks to all contributors and the open-source community for their support and contributions.

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