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Image Classifier API

Wrap a pre-trained vision model in a FastAPI endpoint and ship a tiny upload UI.

PythonFastAPIPyTorchPillow

Build plan

  1. 1
    Load a torchvision pre-trained model
  2. 2
    POST /classify — accept an image, return top-5 labels
  3. 3
    Build a drag-and-drop frontend that calls the API
  4. 4
    Containerize with Docker and add a /health endpoint
Stuck?

Open the playground and prototype the trickiest part first. Even 20 lines of working code beats a perfect plan that never runs.

Open Playground