An iOS app that helps counter food waste through gamification and machine learning.
Built with Swift UI, TensorFlow, Keras, and CoreML.
3rd Place in the 2022 Congressional App Challenge, CA District 18
Using a photo taken before and after a meal, the food on a plate is automatically detected via image segmentation, and the percentage of food eaten is calculated.
Users can scan grocery receipts and the purchased items will automatically be extracted and added to the app.
Users are rewarded points when they save food or record purchased food. These points can be used to revive the player's island, providing a visual representation of their progress.
Created by Sabrina Yen-Ko, Amanda Guo, Julia Mao, and Vir Shah