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:

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

Project Setup

1. Navigate to the project directory:

   cd heart-disease-prediction

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

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS and Linux:

     source venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt

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

   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:

   uvicorn main:app --reload

   The server will start running on http://localhost:8000.

2. Open your web browser and navigate to 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.