Our inspiration was “what if we were able to identify outbreaks much sooner through user interaction?”
What it does
Allows users to register/login and document their daily wellbeing anonymously. When a user records data for a consecutive number of days (within a 24-hour window), they achieve a streak as an incentive. It uses the user’s data and their zip code, if provided, to mark potential regions with outbreaks.
How I built it
We built the front-end using react native/js. The backend program was built in java and using the cloud platform of azure. In addition to these technologies, we used postman to test APIs and cockroachDB to use databases to read/write nodes.
Challenges I ran into
Learning how to work with a lot of new tools in a short span of time was pretty challenging. This was the first time we used react-native, cockroachDB, or Azure. It was challenging to connect the front-end and back-end together to gather data from the user and utilize it correctly.
Accomplishments that I'm proud of
We are just simply proud to have taken on this challenge and learning new things along the way!
What I learned
Besides technical learning, We learned how to break the project down into parts and work effectively together as a team even from a remote setting.
What's next for Symptom Analytics
We plan on adding the maps API to track location and outbreaks effectively, as right now we only have configurations to create a user, input user’s data and track streaks.