Blood Glucose trend anomoly identifier tool
Goal is to create a tool that enables Type1 Diabetics to understand how key variables affect their overall blood sugar levels.
Users can determine a specific "Good Blood Sugar" range. Over time, the app records CGM readings and then displays fitness and health data that may have played a role in the "Good Blood Sugar" range. In addition, it will track the display for the opposite, "Bad Blood Sugar" range.
Key points of app:
-
Utilizing sandbox data - SandboxUser5
-
Submitting to Dexcom for approval to use my personal data and test my program and idea
-
G6 Mobile App
-
Data exists from 2018-02-15 to 2018-04-15
-
Tech Stack
-
Ruby and Rails
-
Rspec for testing, RESTful API practices for consuming data via json payload (REST:Client gem)
-
Sass, JS, Materialize, React/React Native
-
Postman, Postgres
-
MVC architecture with standard CRUD operations
-
Developing on Microsoft Surface Pro4 + PC Desktop
-
All devices - desktop, Android & IOs - React + React Native