feat(ml): implement v3.0 architecture with CBAM and calibrated inference
- Integrate Convolutional Block Attention Module (CBAM) for improved feature focus - Implement temperature scaling and confidence-based status reporting - Automate dataset acquisition using kagglehub - Update ONNX opset to 18 and refine preprocessing validation
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tensorflow==2.19.0 # CPU + Colab; for local GPU, install tensorflow[and-cuda]
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tensorflowjs==4.22.0
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gdown # download dataset from Google Drive
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kagglehub # download dataset from Kaggle
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numpy
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matplotlib
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seaborn
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