https://github.com/arulkumarann/heart-disease-prediction

https://github.com/arulkumarann/heart-disease-prediction

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/arulkumarann/heart-disease-prediction
• Owner: arulkumarann
• Created: 2024-03-30T07:32:33.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-02T16:27:58.000Z (about 2 years ago)
• Last Synced: 2024-05-12T09:40:29.154Z (about 2 years ago)
• Language: Jupyter Notebook
• Size: 110 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Heart Disease Prediction App

This is a simple web application for predicting heart disease using FastAPI for the backend and MongoDB for data storage.

## Features

- Collects user input for heart disease prediction.

- Stores user data in MongoDB.

- Provides predictions based on the user input.

## Requirements

- Python 3.6+

- MongoDB

## Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/arul-5/heart-disease-prediction.git

## Project Setup

1. **Navigate to the project directory:**

    ```bash

    cd heart-disease-prediction

    ```

2. **Create a virtual environment (optional but recommended):**

    ```bash

    python -m venv venv

    ```

3. **Activate the virtual environment:**

    - On Windows:

        ```bash

        venv\Scripts\activate

        ```

    - On macOS and Linux:

        ```bash

        source venv/bin/activate

        ```

4. **Install dependencies:**

    ```bash

    pip install -r requirements.txt

    ```

5. **Create a .env file in the project root directory and add your MongoDB connection URL:**

    ```bash

    DATABASE_URL=mongodb://username:password@host:port/database_name

    ```

    Replace `username`, `password`, `host`, `port`, and `database_name` with your MongoDB connection details.

## Running the Application

1. **Start the FastAPI server:**

    ```bash

    uvicorn main:app --reload

    ```

    The server will start running on [http://localhost:8000](http://localhost:8000).

2. **Open your web browser and navigate to [http://localhost:8000/docs](http://localhost:8000/docs) to access the FastAPI autogenerated documentation.**

3. **Use the provided forms in the documentation to interact with the API, fill out the form, and submit to see the prediction.**

## Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for bug fixes, feature requests, or improvements.