K-GOKULAPPADURAI/Render-Deployment-of-Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

Webiste deployment using Render for the Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

Render-Deployment-of-Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

Webiste deployment using Render for the Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

Asthma Risk Prediction

Welcome to the Asthma Risk Prediction project! This project aims to predict asthma risk based on various health parameters.

Demo

Check out the live demo of the Asthma Risk Prediction web application: https://asthamariskprediction.onrender.com/

Repository

The source code for the project by kivy framework in python is available on GitHub. Feel free to explore, contribute, and provide feedback! https://github.com/K-GOKULAPPADURAI/Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

About

This web application is built using Flask and hosted on the Render platform. It utilizes machine learning models to predict asthma risk based on input parameters such as gender, temperature, humidity, and air quality.

Usage

To run the application locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/K-GOKULAPPADURAI/Render-Deployment-of-Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the Flask application:

   python app.py

Visit http://localhost:5000 in your web browser to access the locally hosted application.

Contributing

Contributions are welcome! If you have suggestions, feature requests, or bug reports, please open an issue or submit a pull request.

Thank you for using Asthma Risk Prediction!