Inspiration

environment

What it does

Explainable AI that optimizes energy use in buildings.

How we built it

Using a SHAP-FOLD algorithm to run with xgboost with Android Studio as the frontend.

Challenges we ran into

The dependencies required to run swi-prolog and Java.

Accomplishments that we're proud of

Our frontend and our sleek algorithm.

What we learned

How to work with multiple normally-incompatible technologies.

What's next for Weather-based Building Power Management

We plan to add a web-based app running off of the expressjs backend so that clients can monitor and adjust their electricity consumption without having to download an app. We'd also like to improve our datasets and incorporate lighting and per-room temperature control into the algorithm.

Built With

• android-studio
• elixir
• escri
• express.js
• java
• javascript
• node.js
• npm
• prolog
• python
• swi-prolog
• xgboost