PUGG Discriminator

PUGG Discriminator is a lightweight image classification model that distinguishes between puff puff, a West African fried dough, and egg. The model was built using Google’s Teachable Machine and trained with a very small dataset of nine images per class. All images were manually cropped into square JPGs using Photoshop, with no additional preprocessing or data augmentation applied. This project demonstrates rapid prototyping, experimentation with low data scenarios, and the practical use of no code machine learning tools.