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.
Table of contents
1. Project Structure2. Environment Setup3. The Flask Application ( app.py )What’s happening:4. Model Utilities ( models/model_utils.py )5. Image Preprocessing ( utils/image_processing.py )6. HTML Templates7. CSS Styles8. Run Locally133 Impressions