This tutorial uses a fine-tuned EfficientNet‑B0 model (pretrained on ImageNet and fine-tuned on HAM10000). It’s saved as skin_model.h5 and loaded from models/model_utils.py. You don’t need to train…

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Build a web-based skin disease classification app using Flask and a fine-tuned EfficientNet-B0 model trained on the HAM10000 dataset. This project involves setting up a Flask web app with file uploading, image preprocessing, and predicting using a pretrained model. Ideal for learners with basic knowledge of Python, Flask, Neural Networks, HTML/CSS, and JavaScript.

Deep Learning in your Browser: Skin Disease Detection with EfficientNet

4. Model Utilities ( models/model_utils.py )

5. Image Preprocessing ( utils/image_processing.py )