| CPC G06Q 40/08 (2013.01) [G06F 16/29 (2019.01); G06N 20/00 (2019.01); G06T 7/0002 (2013.01); G06V 20/176 (2022.01); G06T 2200/24 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/30184 (2013.01)] | 19 Claims |

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1. A method for predicting damage to a structure, comprising:
receiving at a computer system an indication of a geospatial region of interest from a user;
retrieving by the computer system one or more aerial images associated with the region of interest from an aerial image database;
processing the one or more aerial images using a machine learning algorithm executed by the computer system to extract one or more attributes of a structure within the region of interest;
retrieving by the computer system weather data associated with the region of interest from a weather database;
determining by the computer system a likelihood of damage to the structure based on the one or more extracted attributes and the weather data associated with the region of interest;
transmitting a data package from the computer system which includes the likelihood of damage to the structure; and
displaying a project map which includes a plurality of user-selectable display layers that can be toggled on and off, wherein at least one of the user-selectable display layers includes a graphical depiction of a weather event overlaid on the property.
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