Utilizing machine learning models and captured video of a vehicle to determine a valuation for the vehicle

A device, comprising:

• one or more memories;
• and
• one or more processors, coupled to the one or more memories, configured to:
• receive, from a user device, video data identifying one or more conditions of a vehicle;
• receive a vehicle history report of the vehicle based on a vehicle identification number of the vehicle;
• receive, from the user device, feature data associated with the vehicle;
• process the video data, the vehicle history report, and the feature data, with one or more machine learning models, to determine one or more values for the vehicle,
• wherein the one or more machine learning models are trained based on historical video data, historical vehicle history reports, or historical feature data;
• determine a valuation for the vehicle based on the one or more values for the vehicle;
• and
• create a vehicle profile for the vehicle based on the video data, the vehicle history report, the feature data, the one or more values for the vehicle, and the valuation for the vehicle.

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, from a user device, video data identifying one or more conditions of a vehicle;
• receive a vehicle history report of the vehicle based on a vehicle identification number of the vehicle;
• receive, from the user device, feature data associated with the vehicle;
• process the video data, the vehicle history report, and the feature data, with a machine learning model, to determine a range of values for the vehicle,
• wherein the machine learning model is trained based on historical video data, historical vehicle history reports, and historical feature data;
• determine a valuation for the vehicle based on the range of values for the vehicle;
• and
• create a vehicle profile for the vehicle based on the video data, the vehicle history report, the feature data, the one or more values for the vehicle, and the valuation for the vehicle.