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.

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