System and method for generating mobility profile

A computing system comprising:

• one or more processors;
• and
• one or more memories storing instructions that, when executed by the one or more processors, cause the computing system to:
• receive, in a remote computing device, mobility data associated with a user;
• store, in an electronic database, the mobility data associated with the user;
• analyze, using a machine learning model trained on historical insurance claim and purchasing data, a portion of the mobility data to produce an output corresponding to the portion of the mobility data;
• generate, based on the output, information corresponding to the user;
• transmit the generated information to a display device of the user;
• display, in the display device, the generated information;
• generate the trained machine learning model by training a neural network including a plurality of input neurons configured to accept, respectively, one or more portions of the mobility data;
• generate, based on the one or more portions of the mobility data, one or more outputs that correspond to one or both of (i) a risk profile, and (ii) an ambient similarity score;
• identify, based on the ambient similarity score, a set of similar users wherein each respective one of the set of users is associated with the ambient similarity score;
• generate, by analyzing at least the set of similar users, a smart suggestion;
• and
• transmit, to the user, the smart suggestion.

A non-transitory computer readable medium containing program instructions that when executed, cause a computer to:

• receive, in a remote computing device, mobility data associated with a user;
• store, in an electronic database, the mobility data associated with the user;
• analyze, using a machine learning model trained on historical insurance claim and purchasing data, a portion of the mobility data to produce an output corresponding to the portion of the mobility data;
• generate, based on the output, information corresponding to the user;
• transmit the generated information to a display device of the user;
• display, in the display device, the generated information;
• generate the trained machine learning model by training a neural network including a plurality of input neurons configured to accept, respectively, one or more portions of the mobility data;
• generate, based on the one or more portions of the mobility data, one or more outputs that correspond to one or both of (i) a risk profile, and (ii) an ambient similarity score;
• identify, based on the ambient similarity score, a set of similar users wherein each respective one of the set of users is associated with the ambient similarity score;
• generate, by analyzing at least the set of similar users, a smart suggestion;
• and
• transmit, to the user, the smart suggestion.