DAIBETES - A Diabetes Management Aid

DAIBETES is an experimental project aimed at assisting individuals with type 1 diabetes in managing their condition more effectively.

Features:

• Food Data Collection:

  • Leverages OpenFoodFacts and Typesense to gather and locally store food-related data.
  • Typesense ensures reduced direct API queries to OpenFoodFacts by maintaining a local database.

• Freestyle Data Ingestion:

  • Users can upload their blood sugar data from the LibreView app as there's no direct access to Freestyle's API for data retrieval.

• Data Storage:

  • All collected data is securely stored in dedicated databases for further analysis and model training.

• Model Training:

  • The collected data will be used to train a machine learning model aimed at predicting insulin dosage.

Setup:

1. Clone the repository.
2. Install the required dependencies from requirements.txt using pip:

   pip install -r requirements.txt

3. Setup your database and update the configuration file with your database credentials.
4. Run the application:

   python app.py

Usage:

• Navigate to the Collect Data section to input food data and upload Freestyle data.
• Browse the Show Data section to view all your entries.
• Access the Model section for insights and predictions (coming soon).

Contribution:

Feel free to fork the project and submit PRs for any enhancements, bug fixes or features you may have.

License:

This project is open source under the MIT license.

Contact:

For any inquiries or discussions, reach out at agathezecevic@gmail.com