Insurance Prediction System is a Python project that predicts insurance premiums based on user inputs. The project uses a pre-trained machine learning model and the Streamlit library to create a web application for user interaction.
Here is an overview of the project structure:
To set up the Insurance Prediction System, follow these steps:
- Clone the repository:
Below is a single README file content for the Insurance Prediction System project, based on the provided code structure. You can copy and paste this content into a file named README.md in the root directory of your project.
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Insurance Prediction System is a Python project that predicts insurance premiums based on user inputs. The project uses a pre-trained machine learning model and the Streamlit library to create a web application for user interaction.
Here is an overview of the project structure:
Insurance Prediction System
├── .github
│ └── workflows
│ ├── .gitkeep
│ └── main.yaml
├── configs
│ └── config.yaml
├── src
│ ├── components
│ │ └── init.py
│ ├── entity
│ │ └── init.py
│ ├── pipeline
│ │ └── init.py
│ ├── logger
│ │ └── init.py
│ ├── init.py
│ ├── config.py
│ ├── exception.py
│ ├── predictor.py
│ └── utils.py
├── main.py
| app.py
├── requirements.txt
└── setup.py
To set up the Insurance Prediction System, follow these steps:
- Clone the repository:
git https://github.com/udayzee05/insurance-predictor-ML.git- Change to the project directory:
cd Insurance-Prediction-System- Install the required packages:
pip install -r requirements.txtAfter installing the required packages, run the Streamlit app:
streamlit run main.pyThis will launch the web application in your default browser, where you can input the required parameters and receive insurance premium predictions.
To contribute to this project, please fork the repository and create a new branch for your feature or bugfix. After making your changes, submit a pull request to the main repository.
This project is licensed under the MIT License. See the LICENSE file for details.