A friend who has seasonal affect disorder.
What it does
It takes into account many different factors, including real-time weather data, to give an accurate analysis and recommended treatments/mitigation strategies.
How I built it
We wrote the backend in node.js and the frontend in ejs, a view engine that we used to inject dynamic content. The materialized css templates were used.
Challenges I ran into
Asynchronous programming is new to both of us. We used a lot of new APIs as well.
Accomplishments that I'm proud of
The frontend programming with the incorporation of material design was new and looked pretty good.
What I learned
I learned some css and some more in-depth functions of certain attributes.
What's next for At Helse
Implementation of machine learning to give more personalized predictions/recommendations.