Build a Full Stack Deep Learning Skin Cancer Detection App | PyTorch + FastAPI + React + CNN Models

Description

Enroll to this course for more related projects: https://www.vmsclass.com/courses/845763 In this tutorial, we build a complete Full Stack Deep Learning Web Application for Skin Cancer Detection using: PyTorch FastAPI React Axios Transfer Learning ResNet18 ResNet50 VGG16 This project covers the complete workflow from backend development to frontend integration and real-time image prediction. Topics Covered: Deep Learning project architecture Dataset preparation CNN model training Transfer learning FastAPI backend development React frontend development Frontend-backend connectivity Image upload handling Prediction APIs Training history visualization Multi-class classification Model saving and loading Swagger API testing Full stack AI application development By the end of this tutorial, you will have a complete production-style AI web application capable of training models and predicting skin disease classes from uploaded images. GitHub code for support files: https://github.com/vmsclass/skin-cancer-app1