Image Classifier

Summary

A model that categorizes images into predefined classes — the standard computer vision starter project, ideally going beyond MNIST to a real-world dataset.

• 1Fine-tune a pretrained CNN or ViT on a real multi-class image dataset.
• 2Deploy the model behind a simple API that accepts an image upload.
• 3Report a confusion matrix and discuss where the model confuses classes.