Skin Disease Prediction

Machine Learning (ML) is an emerging technology and a discipline to study how use the machine simulate human learning activities. It focuses on of data algorithms imitate way that humans learn, gradually improving its accuracy. Prediction in ML involves using trained model make predictions forecasts, about new unseen based patterns learned from past data. On contrary healthcare plays important role life. Healthcare presents range complex challenging problems require sophisticated solutions. For example, accurately diagnosing diseases medical images can be difficult, but models identify subtle might missed by experts. Skin are very common nowadays spreading widely among people present time. Therefore, development mining techniques efficiently distinguish classes skin disease important. Due lack facilities available remote areas, patients usually ignore early symptoms which may worsen situation as time progresses. Hence, there rising need for automatic detection system with high application developed uses Convolutional Neural Network (CNN) it most efficient algorithm image classification. Then built better Softmax used multi Deep train model, part unlike large dataset hence number classifiers reduced substantially. The final will able classify type has affected particular area skin.