We looked for problems that have a huge impact on lives of everyone, irrespective of where someone is from. This along with the fact that the challenge organizers had a well defined challenge and something that could be tackled in the two days for the hackathon.
What it does
We compute what we call the 'Verdis Index' for a given season, beginning from planting to harvest. Not much unlike a credit rating which determines the credit worthiness of an individual, this index takes into account the weather patterns for the provided geographical area and other affecting ancillary conditions like chances of getting a disease, natural calamities, political stability, market dynamics and so on. This index can be a base for insurance underwriting, lending agencies, banks, government agencies and scientists to gauge the crop out for a given individual/area.
How we built it
Blood and sweat, mostly, with a bit of React and Java thrown in for a good measure.
Challenges we ran into
We started off wanting to make an actual usable native Android app but some of the functionality that was crucial to us was not achievable in time. So we had to shift to using React Web from React Native sometime yesterday night which lead to a whole night of re-writing stuff.
Accomplishments that we're proud of
We were able to balance out each of our expectations from the hackathon. Someone of us had their first run-in with React and the entire ecosystem surrounding it for the first time during the hackathon.
What we learned
Don't use React Native for a hackathon, unless you really absolutely must.
What's next for Verdis
Talk with agriculture experts, sociologist, underwriters and economists to see if this is actually useful. Also make our mathematical model more robust.