Abstract: Systems and methods provide visualization of the projected results of an aesthetic treatment, such as facial skin therapy, using an image display device and a plurality of stored transformation instructions. The system receives an input image of a subject, such as a recent portrait photograph. The system determines the aesthetic treatment to apply, retrieves the associated transformation instructions, and transforms the input image with the transformation instructions to produce a modified image that represents changes to the subject's face that are expected to occur after the selected treatment. The system may include or access a virtual treatment visualization engine that stores transformation parameters describing changes to make to the input image based on the selected treatment and other input parameters. The transformation parameters may be obtained from a model that received the selected treatment. The system may determine similarities of the subject to the model.

Abstract: Virtual assistant systems (“VAs”) operate on a distributed and interconnected network, such as a hierarchy or mesh, of virtual assistant platforms (“VAPs”). VAs communicate with a user via an electronic device, and can communicate with other devices, software programs, and other VAs. VAs include intelligent agents configured to perform particular tasks. The VAP includes an execution environment that may provide an interface between the VA and the electronic device, and may further provide a framework of services for implementing, maintaining, and executing the intelligent agents. A VA may be configured to participate in a group VA in which knowledge and tasks can be shared and cooperatively executed. Cooperative execution can include distributing subtasks among VAs in the group VA, the subtasks together forming the task. Group VAs can share information with each other, and may further inter-network by accessing a common network outside the VAP, such as a social network.