Inspiration
This is a very HOT issue in today's world.
What it does
Using interpolation and extrapolation algorithms, the app predicts average temperatures by country.
How we built it
We used the Java and XML Programming Languages, specifically REST API Calls, in Android Studio, as well as Matlab to create the algorithms.
Challenges we ran into
Implementing and ensuring that the interpolation and extrapolation algorithms functioned correctly, and that the data migrated from the BigParser API successfully. We created several plots of functions to verify the precision of the function.
Accomplishments that we're proud of
One accomplishment that we are proud of is being able to get Android Studio to become compatible with the BigParser API and Grid. In addition, we are proud of developing a working algorithm that generates polynomials to interpolate and extrapolate data via Spline method.
What we learned
We learned how to use the BigParser API to retrieve data from our grid and how to access the BigParser library in Java.
What's next for Warmify
Instead of countries, we can specify average temperature data by city. By allowing users to estimate their own cities' average temperature in the next few years, citizens will become more aware of Global Warming.
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