Multi-Class Disease Detection and Wound Detection with CNN

Abstract - This project focuses on the implementation of a deep Learning model capable of detecting skin diseases and Identifying wounds from images. By utilizing Convolutional Neural Networks (CNNs) and transfer learning, the system Classifies various skin conditions such as eczema, psoriasis, acne, and different types of wounds. The application aims to Provide preliminary diagnostics to aid dermatologists and Rural healthcare systems Key Words: Deep Learning, Convolutional Neural Networks (CNNs), Transfer Learning, Skin Disease Detection, Wound Identification, Image Classification, Eczema, Psoriasis, Acne, Wounds, Medical Imaging, Preliminary Diagnostics, Dermatology, Rural Healthcare