Skin cancer, especially melanoma, is often aggressive in its nature, and hence, early diagnostics and accurate data about the tumor are often critical for its treatment and increasing the chances of survival. A vast amount of dermoscopical pictures of malignant and benign skin lesions were used in designing and evaluation of this deep learning model. ResNet-50 is the model adopted, which has proven quite useful in classifying images. Moreover, the express integration of other explainable artificial intelligence methods including Grad-CAM and functionality assisted in visualizing the specific areas that the model was focusing on and thereby improving the ability to explain the model’s predictions. Hence, we can conclude that the model has a 94% accuracy, 92% precision, 93% recall, and the AUC-ROC is 0.96.