Derm Detect is a skin disease detection project that leverages the power of machine learning to help identify various skin diseases from images. This repository contains the code and resources used to train the Derm Detect model, as well as the web application for users to upload their skin images and receive predictions.
Skin disease detection using the Xceptionnet architecture. A web interface for users to upload and predict skin diseases. Confusion matrix and accuracy graphs for model evaluation. A pre-trained model for immediate use.
This project is licensed under the MIT License - see the LICENSE file for details.