Inspiration

We wanted to create a mobile app to warn the people who wear Fitbit devices about the stroke risks and its consequences. This is a valuable service, as stroke is a serious health condition that can have significant consequences.

What it does

it interacts with FitBit API to get the electrocardiogram data from a specific FitBit device, this information is disposed in our movile aplication and it is also used to make inferencies given a model.

How we built it

A FastAPI backend service was developed to be a middleware from the FitBit API, the model and the mobile application. The technology used to make the frontend application is Flutter, which helps to build crossplatform application

Challenges we ran into

Learning flutter Lerning dart Lerning redux interact with FitBit API understanding REST API services with FastAPI Get the electrocardiogram data from FitBit Edit the scopes and permisions from FitBit aplications Called the model to make inferencies Get the LOGs from the model

Accomplishments that we're proud of

We had fun, and we lerned a lot about Flutter, Dart and APIs

What we learned

Flutter Dart Redux How to process data form FitBit Manage the Permissions in aplications

What's next for Spinning Enjoyers

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