Skin Pimple Detection and Classification using Machine Learning

Abstract

The prevalence of skin diseases globally necessitates advancements in diagnostic methodologies. This project introduces a Skin Disease Detection and Classification System employing machine learning to enhance accuracy and efficiency in identifying various skin conditions. Utilizing a robust dataset of dermatological images labelled by medical professionals, we've trained a convolutional neural network (CNN) to discern patterns and markers indicative of specific diseases. The system offers a user-friendly interface for image uploads, processes the data using the trained model, and provides immediate classification results. By bridging cutting-edge technology with clinical expertise, this system stands to significantly aid early detection, potentially improving treatment outcomes and patient care in dermatology.