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.