Skin disease are mostly ignored and provided less importance at the early stages. Some ignorance among people might lead to skin cancer. In existing approach, the increased skin disease are identified at the later stage using biopsy only. The inspection is performed manually by considering many histopathological features. This paper explains the development of a model which helps to detect the various skin diseases at early stage using neural networks. For classification and prediction purpose this paper using Convolutional Neural Network. For improving the accuracy of prediction we are going to do dataset preparation. Data augmentation is using for increasing the count size of the training data. So that the accuracy of the classification will increase and will get 97% result.