Vehicle identification driven by augmented reality (AR)

A device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories, configured to:
• receive user rendering data for a three-dimensional (3-D) rendering of a user,
• wherein the 3-D rendering of the user is a proportional representation of the user;
• determine, by processing the user rendering data, a set of user characteristics of the user,
• wherein the set of user characteristics includes at least one of:
• a height of the user,
• a width of one or more body parts of the user, or
• a length of the one or more body parts of the user;
• identify a set of vehicles to recommend to the user based on a machine learning driven analysis of:
• the set of user characteristics, and
• a set of vehicle characteristics for a collection of vehicles,
• wherein the set of vehicle characteristics includes at least one of:
• a first seat placement characteristic, that is associated with a minimum seat extension distance, for one or more seats included within the collection of vehicles,
• a second seat placement characteristic, that is associated with a maximum seat extension distance, for the one or more seats included in the collection of vehicles, or
• a distance between a first point of the one or more seats and a second point of one or more ceilings of one or more vehicles included in the collection of vehicles;
• and
• cause display of a placement of the 3-D rendering of the user in a 3-D rendering of a particular vehicle of the set of vehicles.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive user rendering data for a three-dimensional (3-D) rendering of a user, wherein the 3-D rendering of the user is a proportional representation of the user;
• determine, by processing the user rendering data, a set of user characteristics of the user,
• wherein the set of user characteristics includes at least one of:
• a height of the user,
• a width of one or more body parts of the user, or
• a length of the one or more body parts of the user;
• identify a set of vehicles to recommend to the user based on a machine learning driven analysis of:
• the set of user characteristics, and
• a set of vehicle characteristics for a collection of vehicles,
• wherein the set of vehicle characteristics includes at least one of:
• a first seat placement characteristic, that is associated with a minimum seat extension distance, for one or more seats included within the collection of vehicles,
• a second seat placement characteristic, that is associated with a maximum seat extension distance, for the one or more seats included in the collection of vehicles, or
• a distance between a first point of the one or more seats and a second point of one or more ceilings of one or more vehicles included in the collection of vehicles;
• and
• cause display of a placement of the 3-D rendering of the user in a 3-D rendering of a particular vehicle of the set of vehicles.