Methods and systems for providing a vehicle recommendation

A computer-implemented method for providing a vehicle recommendation to a user, the method comprising:

• obtaining, via one or more processors, a first three-dimensional model of a model vehicle based on automotive data provided by the user, wherein the automotive data comprises at least one of a make or model of the model vehicle;
• obtaining, via the one or more processors, characteristic data of a user-defined vehicle based on one or more interactive activities of the user with the model vehicle, wherein the one or more interactive activities of the user comprise at least altering one or more features of the model vehicle;
• generating, via the one or more processors, a second three-dimensional model of the user-defined vehicle based on the first three-dimensional model of the model vehicle and the characteristic data of the user-defined vehicle;
• obtaining, via the one or more processors, one or more images of the second three-dimensional model of the user-defined vehicle, wherein the one or more images comprise at least one of a front side image, a back side image, a left side image, or a right side image of the second three-dimensional model of the user-defined vehicle;
• obtaining, via the one or more processors, pre-stored image data of one or more pre-stored vehicles other than the user-defined vehicle based on the one or more images of the second three-dimensional model of the user-defined vehicle, wherein the pre-stored image data of the one or more pre-stored vehicles comprises one or more pre-stored images of the one or more pre-stored vehicles;
• generating, via the one or more processors, a selection of the one or more pre-stored vehicles based on the one or more images of the second three-dimensional model of the user-defined vehicle and the pre-stored image data of the one or more pre-stored vehicles other than the user-defined vehicle via a trained machine learning algorithm;
• obtaining, via the one or more processors, user feedback data based on the selection of the one or more pre-stored vehicles, wherein the user feedback data indicates a user's preference of a given pre-stored vehicle of the selection of the one or more pre-stored vehicles;
• generating, via the one or more processors, the vehicle recommendation for the user based on the user feedback data via the trained machine learning algorithm;
• and
• transmitting, to a device associated with the user, a notification indicative of the vehicle recommendation.

A computer system for providing a vehicle recommendation to a user, comprising:

• a memory storing instructions;
• and
• one or more processors configured to execute the instructions to perform operations including:
• obtaining characteristic data of a user-defined vehicle based on one or more interactive activities of the user with a first three-dimensional model of a model vehicle, wherein the one or more interactive activities of the user comprise at least altering one or more features of the model vehicle;
• generating a second three-dimensional model of the user-defined vehicle based on the first three-dimensional model of the model vehicle and the characteristic data of the user-defined vehicle;
• obtaining one or more images of the second three-dimensional model of the user-defined vehicle, wherein the one or more images comprise at least one of a front side image, a back side image, a left side image, or a right side image of the second three-dimensional model of the user-defined vehicle;
• generating a selection of one or more pre-stored vehicles based on a comparison between the one or more images of the second three-dimensional model of the user-defined vehicle and pre-stored image data of the one or more pre-stored vehicles other than the user-defined vehicle via a trained machine learning algorithm;
• obtaining user feedback data based on the selection of the one or more pre-stored vehicles, wherein the user feedback data indicates a user's preference of a given pre-stored vehicle of the selection of the one or more pre-stored vehicles;
• generating the vehicle recommendation for the user based on the user feedback data via the trained machine learning algorithm;
• and
• transmitting, to a device associated with the user, a notification indicative of the vehicle recommendation.