Classifying Dermatological Skin Lesions is a project that utilizes Computer Vision, Deep Learning, and Machine Learning techniques to analyze different pigmented skin lesions in a dermatoscopic image and accurately classify the type of potential skin cancer with which the lesion is associated. I primarily worked on the classical Computer Vision approach of the project, where I implemented the gradient lookups of the edges in different skin lesions using Canny edge detector, and analyzed the output of the edge detector for the Machine Learning approach.