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100friends/job-hunt-coach

sourceHugging Faceupdated 2y agoView on Hugging Face

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App README

Job Hunt Coach

This application helps users tailor their resumes to better match job descriptions. By leveraging AI, it analyzes the job description and the user's resume, then provides an updated resume that highlights the most relevant areas, ensuring the best possible match.

Features

—Analyze job descriptions and resumes
—Generate tailored resumes
—Provide feedback on resume improvements

Getting Started

Prerequisites

—Python 3.8 or higher
—pip (Python package installer)
—Uvicorn
—Streamlit

Installation

1.Clone the repository:

    git clone https://github.com/yourusername/job-application-coach.git
    cd job-application-coach/backend

1.Create and activate a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`

1.Install the required Python packages:

    pip install -r requirements.txt

1.Create a .env file in the backend directory and add your API key:

env

    GROQCLOUD_API_KEY=your_groqcloud_api_key

Running the Backend

Start the FastAPI backend using Uvicorn:

uvicorn fastapi_app:app --reload

Running the Frontend

Navigate to the frontend directory and start the Streamlit app:

cd ../frontend
streamlit run app.py

Running the docker

docker build -t coach .
docker run -it -p 7860:7860 coach

Usage

1.Open your browser and navigate to the Streamlit app (usually at http://localhost:8501).
2.Enter the job description and your resume.
3.Click the "Analyze" button to receive a tailored resume and feedback.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

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