Inspiration
We were inspired by the fact that it was something that we found interesting, even if we had no experience in it. We took it as a challenge and tried our best.
What it does
It takes in a dataset of sales, customers, beer details and links them all together in a way that is easy to work on.
How we built it
We used Python pandas library and applied Random Forest Regression to train the model. We used Java for the GUI, but didn't manage to embed any functionality into it.
Challenges we ran into
In the middle of the Hackathon, we realized that all we've done to achieve some results was useless, because it had no real importance. Then my teammates got tired, and I tried to make something at least on the right path of accomplishing this project's goal.
Accomplishments that we're proud of
We're proud of having the courage to compete in something we've never done before and the experience that we've gathered. It was really fun, even if we faced lots of difficulties.
What we learned
How to work better in a team, how not to cook code spaghetti and how to work around ideas and break them down into smaller pieces.
What's next for EFES Predictor
I think we have to improve (or actually rebuild) the model's algorithm and adapt it to all the factors that matter.
