óptimo

óptimo grocery shopping GUI and backend optimizer

Inspiration

We are are passionate about sustainability and the environment, as well as a healthy nutritional lifestyle. Therefore it is imperative to educate the younger generation about healthy and sustainable shopping choices. We are combining state-of-the-art artificial intelligence, with cutting a edge gaming framework that gamifies the shopping experience for a better future.

What it does

óptimo provides a gaming experience for for users, in which they can upload higher order grocery articles they want to buy for a specific time period. Using advanced artificial intellgence and realistic data simulations we return a recommended shopping list that is sustainable in terms of CO2 emissions and healthy for the consumer, while satisfying price and size constraints of the shopper.

How we built it

We wrote the platform on Java, utilizing the game library libGDX while seamlessly integrating a custom Monte Carlo Tree Search library written in Kotlin, mctreesearch4j. The software libraries are both operating in the JVM ecosystem.

Challenges we ran into

Having created this app in 1 day, we ran into many issues, particularily involving the Intellig IDE, gradle functionality, and integration efforts between Java and Kotlin. But the key challenge was time pressure. Also as we had a multi-national team, we ran into time zone conflicts.

Accomplishments that we're proud of

This is a unique a cross platform application, and working prototype, that's fully functional on the JVM, incorporating advanced AI.

What we learned

We learned collaborate as multi-national and multi-disciplinary team with teammate's back ranging from software engineering to management consulting. We considered the sustainability problem from multiple perspectives.