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: The present invention provides for a novel, but simply structured life-saving diving buoy that protects human lives by indicating presence of divers in a certain area while providing a dry storage compartment to store life-saving equipment useful to mark a submerged scuba diver's location while providing a dry compartment to store emergency and/or lifesaving equipment for when the diver comes to the surface and is far away from his boat.