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Update README.md

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@@ -18,6 +18,9 @@ Try 3 backbones (ViT / ResNet / EfficientNet) on any image. We show **top-5 pred
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  - Pick a model in the dropdown
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  - Click **Predict**
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  ## Roadmap
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  - Eval notebook → Confusion Matrix + Accuracy + ROC (binary subsets)
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  - Auto-publish plots to this README
 
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  - Pick a model in the dropdown
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  - Click **Predict**
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+ ## Why this matters
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+ Different backbones behave differently. This demo makes those trade-offs visible to judges/users in one place.
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+
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  ## Roadmap
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  - Eval notebook → Confusion Matrix + Accuracy + ROC (binary subsets)
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  - Auto-publish plots to this README