Abstract: Disclosed embodiments improve the technical field of machine learning and further provide a skin condition analysis system. A user, using a client device such as a smartphone, takes one or more images of a skin condition. The images are uploaded to a skin condition analysis server that implements an evaluation neural network that is trained to analyze skin conditions. The evaluation neural network has hyperparameters that are adjusted utilizing a second neural network to achieve a higher level of diagnostic effectiveness. The client device then retrieves the diagnosis, and renders the diagnosis, along with a corresponding treatment regiment, on a user interface of the client device. In this way, access to effective skin condition treatment is greatly increased. This can serve to provide quicker remedies, thereby reducing overall healthcare costs.