Strengths3
- Clear separation of concerns (model definition vs. inference script).
- Functional Gradio interface that allows real‑time digit classification.
- Correct use of PyTorch utilities (torch.inference_mode, transforms).
ML Application · Python
MNIST-Digit-Classifier
What it is
The repository provides a simple handwritten digit classifier using a PyTorch CNN and a Gradio web interface for inference. It loads pretrained model weights to predict digits from user‑uploaded images and displays prediction probabilities and inference time.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning90%
- Computer Vision80%
- MLOps20%
- Data Science10%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
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