Healthcare_AI-Support_System

Classify visually detectable diseases using a Raspberry Pi

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File list

SkinLesionClassificationModelTraining.ipynb
classify.py

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Tools used for building

Jupyter Notebook and Google Colab

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How to run

1. Open SkinLesionClassificationModelTraining.ipynb in Jupyter Notebook or Google Colab.
2. Run SkinLesionClassificationModelTraining.ipynb to train model.
3. Offload model weights (skin_lesion_classifier.tflite, which is created in step 2) to Raspberry Pi.
4. Run classify.py on Rasperry Pi.