WasteNot! | What’s for Dinner?

New York, NY

Awards & Nominations

WasteNot! has received the following awards and nominations. Way to go!

Global Finalist (Galactic Impact)

The Challenge | What’s for Dinner?

Map the life cycle of your favorite food product or dish, and put on your chef’s hat to create its most environmentally sustainable version!


Using machine learning, WasteNot predicts how much food local residents are going to order.


Believe it or not, 1/3 of all food produced worldwide goes to waste. Restaurants and grocery stores alike often throw away expired food that didn’t get used because of bad planning or overly optimistic outlook.

Using machine learning algorithms, we created an app that makes predictions about the food consumption of upcoming weeks. The app learns individual stores’ order patterns, and fuse them with macro-level live data such as weather, market supply, and local events.

Store owners can select factors that have major impacts on their businesses, and gradually train the software to make customized predictions with higher confidence scores.

With the aid of machine learning, the app could save the food industry billions of dollars each year, and help decrease environmental pollutions.

We hosted all of our code here:


And here's our interactive prototype:



SpaceApps is a NASA incubator innovation program.