Streamlit Application: Smart ATS

This Streamlit application is designed to help evaluate resumes based on a provided job description using Gemini model by Google.

Features

• Upload your resume in PDF format.
• Enter a job description to evaluate the resume against.
• Get analysis results including job description match percentage, missing keywords and insightful recommendations.

Built With

• Google-generativeai
• Streamlit
• PyPDF2

Models used

• gemini-pro

Getting Started

Installation

1. Clone the repository:

   git clone https://github.com/Akashr-18/Gemini-Resume-ATS.git

2. Navigate to the project directory:

   cd Gemini-Resume-ATS

3. Create a Virtual Environment (Optional but recommended)

   conda create -p <Environment_Name> python==<python version> -y

4. Activate the Virtual Environment (Optional)

   conda activate <Environment_Name>/
   

5. Install dependencies:

   pip install -r requirements.txt

6. Make sure you create a file named .env and store your Google API key

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Open your web browser and go to http://localhost:8501.

3. Upload your resume and enter the job description to analyze the resume.

Home page :

Copy the job description :

Paste the job description :

Output After Resume Analysis:

Contributing

Contributions are welcome! Here's how you can contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature/new-feature.
3. Make your changes and commit them: git commit -am 'Add new feature'.
4. Push to the branch: git push origin feature/new-feature.
5. Submit a pull request.

Please make sure to update tests as appropriate.

License

This project is licensed under the MIT License - see the LICENSE file for details.