The project is a Transfer Learning and Ensemble Learning trained model which consists of the Mobile Net, Inception and Xception Learning pre-trained Models which can predict Skin Cancer or not by checking the scanning and predicting on the images of the infected areas on the body. The model has been trained on a variety of images through which it predicts the required. In this project, the image file of the patient is upload into a public use software, which is a GUI-based interface, developed with the help of Tkinter and Python, and it consists of the model and the software processes the image through the model and predict the results which can help people and doctors to start with the medication way earlier instead of waiting for the laboratory tests and reports for the confirmation.