In conclusion, Sunspot will be a mobile application utilizing a client-server architecture and machine learning to assist with skin cancer diagnosis. Upon designing the application, we agreed upon 5 essential design decisions that played critical roles in determining how we choose to design this mobile application. These design decisions included wanting to support numerous clients in an efficient, secure manner, allow for capturing photos, ensuring data was transmitted securely between clients and sever(s), utilizing machine learning to help process and analyze images in addition to ensuring medical professionals can review the images too, and enforcing secure storage of all data by HIPAA standards. A client-server architecture was chosen to be used for this application for its ability to tackle several key design challenges we encountered. Moreover, by using this architecture, we would be able to have all of our patient data in one centralized location, easily scale our application to allow for more or less traffic, handle and support numerous clients at once, and provide proficient security to meet all of our requirements.