https://github.com/jatinagrawal0/resume_ranking_webapp_using_gemini

This Python script builds a user-friendly ATS using Streamlit, Google's GenerativeAI, and PyPDF2. It evaluates uploaded resumes against a job description, ranking them based on match percentage and providing feedback on missing keywords and profile summaries.
https://github.com/jatinagrawal0/resume_ranking_webapp_using_gemini

gemini-api generative-ai llm pypdf2 resume resume-description streamlit

Last synced: about 3 hours ago
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This Python script builds a user-friendly ATS using Streamlit, Google's GenerativeAI, and PyPDF2. It evaluates uploaded resumes against a job description, ranking them based on match percentage and providing feedback on missing keywords and profile summaries.

• Host: GitHub
• URL: https://github.com/jatinagrawal0/resume_ranking_webapp_using_gemini
• Owner: JatinAgrawal0
• License: mit
• Created: 2024-04-28T11:52:02.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-01-27T04:47:24.000Z (10 days ago)
• Last Synced: 2025-01-27T05:25:35.626Z (10 days ago)
• Topics: gemini-api, generative-ai, llm, pypdf2, resume, resume-description, streamlit
• Language: Python
• Homepage: https://resumerankingwebapp.streamlit.app/
• Size: 31.3 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Smart ATS for Resumes 📄🔍

This Smart Application Tracking System (ATS) is designed to evaluate resumes against a given job description. It provides insights on match percentage, missing keywords, and profile summaries to assist in resume screening.

## Features

✨ **Streamlit Interface**: User-friendly interface created using Streamlit for easy interaction.

🔍 **GenerativeAI Integration**: Utilizes Google's GenerativeAI API for analyzing resumes and providing feedback.

📄 **PDF Resume Support**: Supports uploading resumes in PDF format, processed using PyPDF2.

## Setup

1. **Install Dependencies**: Ensure you have Python installed. Install required Python packages using pip:

2. **Set up Google API Key**: Obtain a Google API key and set it as an environment variable named `GOOGLE_API_KEY`. You can also directly set it in the script.

3. **Run the Application**: Start the Streamlit application by running:

## Usage

1. **Paste Job Description**: Enter the job description in the provided text area.

2. **Upload Resumes**: Upload resumes in PDF format using the file uploader.

3. **Submit**: Click the submit button to evaluate the resumes against the job description.

4. **Review Results**: View the ranked resumes, match percentages, and descriptions in the table format.

## Contributing

If you would like to contribute to this project, please follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Make your changes and submit a pull request.

## Contact

If you have any questions or issues, feel free to reach out to the maintainers:

Maintainer: Jatin Agrawal

Email: [email protected]

## License

This project is licensed under the [MIT License](LICENSE).