A simple, lightweight FastAPI project that predicts insurance premium costs based on user details like age, gender, BMI, etc. Built for quick deployment and API integration.
- FastAPI – Modern, fast (high-performance), web framework
- Uvicorn – Lightning-fast ASGI server
- Pydantic – Data validation and settings management
- Scikit-learn – Machine learning model
- Docker - Docker desktop (Images, Containers)
Clone the repository and install the dependencies:
git clone https://github.com/chaitu092/Insurance-premium-fastapi.git
cd Insurance-premium-fastapi
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
Docker Image - https://hub.docker.com/repository/docker/chaitu2508/insurance-prediction-fastapi/general
. ├── app.py # Main FastAPI application ├── config/ # Configuration files ├── model/ # Trained machine learning model ├── schema/ # Pydantic schemas for data validation ├── requirements.txt # Python dependencies └── README.md # Project documentation
uvicorn app:app --reload
The API will be accessible at: http://127.0.0.1:8000
Interactive API documentation is available at: http://127.0.0.1:8000/docs