Seasonal Sickness Predictor

Inspiration

Peru has a severe problem with seasonal sickness due to its freezing weather, in winter but also in summer. This called my attention as my duty as a peruvian hacker to do something to help with this problem.

What it does

Predicts the seasonal risk based on the month, the precipitation, the maximum temperature and the minimum temperature.

How we built it

I used R programming. My code was based principally on pamk clustering and knn.

Challenges we ran into

It was hard to find the data I needed and that i had to build based on different pages. Also, I learnt that knn doesn't work with a data frame class type but with a vector.

Accomplishments that we're proud of

This is my first succesful time participating in a hackathon and I'm proud of using my R knowledge not only to solve a serious problem but to grow as a hacker too.

What we learned

That data is really important and that we need, in Peru, a hacker enviroment where we can upload more easily the data so we can work in more efficient and practical ways towards the wellness of our people.

What's next for Seasonal Sickness Predictor

Improving its prediction factor and maybe translating its code to neural net. It would reduce the margin even more!

Built With

• excel
• knn
• pamk
• r