Patent ID: 11972499
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A computer-implemented method for identifying home costs, the method implemented using a home cost analysis server including one or more processors in communication with one or more memory devices, the method comprising:
training a machine learning program to identify features of homes from text-based metadata and at least one image associated with those homes, by inputting sample datasets of images and text-based metadata of homes into the machine learning program, to generate a machine-learned feature processing program;
receiving user input from a user computing device associated with a prospective homebuyer, the user input including a prospective home in a target geographic area;
inputting text-based metadata and one or more images of the prospective home as inputs to the machine-learned feature processing program, which outputs at least one feature of the prospective home;
accessing an external database storing historical ancillary costs associated with homes in the target geographic area, wherein ancillary costs are based upon the geographic area and at least one feature of a respective home;
performing a lookup in the external database to retrieve comparable historical ancillary costs from associated homes having a similar or comparable feature to the at least one outputted feature of the prospective home;
displaying, at the user computing device, a first user interface including a selectable list of any ancillary home cost associated with each at least one outputted feature;
receiving, from the user computing device, user input indicating a selection of at least one ancillary home cost; and
in response to the user input, displaying, at the user computing device, a second user interface including an anticipated home cost associated with the prospective home that includes the selected ancillary home cost.