Skip to content

Latest commit

 

History

History
64 lines (38 loc) · 1.66 KB

README.md

File metadata and controls

64 lines (38 loc) · 1.66 KB
Raw

Asthma Predictor

Overview

Asthma Predictor is a web-based application that predicts asthma based on input data and displays the analysis results. It utilizes machine learning techniques to provide accurate predictions and visualizations.

Features

  • Upload CSV files containing relevant data.
  • Analyze the uploaded data to predict asthma.
  • Display analysis results including accuracy and prediction data.
  • User-friendly interface for easy interaction.

Usage

  1. Upload Data: Select a CSV file containing relevant data.
  2. Analyze: Trigger analysis to predict asthma based on the uploaded data.
  3. View Results: Explore the analysis results including accuracy and prediction data.

Installation

To run the Asthma Predictor locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/your-username/asthma-predictor.git

  2. Install dependencies:

    pip install -r requirements.txt

  3. Run the application:

    python app.py

  4. Open your web browser and go to http://localhost:8050.

Technologies Used

  • Python
  • Dash (Python framework for building analytical web applications)
  • scikit-learn (Machine learning library for Python)
  • HTML/CSS (for frontend design)

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or create a pull request.

License

This project is licensed under the MIT License.

Acknowledgements

Special thanks to Bootstrap for providing CSS styling and Plotly for interactive visualizations.