Abstract: Systems and methods provide real-time machine learning modeling, evaluation, and visualization. A computing system can receive image data including a machine code from a client device. The system can decode the machine code to identify a user associated with the client. The system can retrieve a plurality of data sources associated with the user and a shared vehicle associated with the user. The system can extract a plurality of features from the plurality of data sources. The system can build a feature vector representing the plurality of features. The system can input the feature vector into a machine learner to identify a classification associated with the user. The system can generate a dynamic insurance policy for the user based on the classification.

Abstract: A user context system and method are provided. The system may define a user context and then one or more rules based on that device and those connected on the context of the user. The system may also have an orbit user interface that displays the users who context has been distributed by the system.