Systems and Methods for Generating a Home Score and Modifications for a User

Abstract

Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.

1 . A computer-implemented method for evaluating and gamifying maintenance for a property by a user, the computer-implemented method comprising:
 retrieving, by one or more processors, at least one of home data for a property or user data for a user;   determining, by the one or more processors and using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data;   generating, by the one or more processors and based upon the one or more modified home score factors, a home score for the property;   determining, by the one or more processors and based upon at least one of the home data or the user data, one or more difference factors between the property and a previous property associated with the user; and   displaying, by the one or more processors, the home score for the property and the one or more difference factors.   
     
     
         2 . The computer-implemented method of  claim 1 ,
 wherein the one or more difference factors include at least one of: (i) differences in potential weather disasters, (ii) differences in local construction codes, or (iii) differences in local fauna or flora.   
     
     
         3 . The computer-implemented method of  claim 1 , further comprising:
 generating one or more recommended actions for the user to perform based upon the one or more difference factors.   
     
     
         4 . The computer-implemented method of  claim 1 , wherein at least some of the home data is retrieved from one or more smart devices on the property and the home data includes at least one of: location data, environment data, first responder data, home structure data, and adherence to local construction codes. 
     
     
         5 . The computer-implemented method of  claim 1 , wherein determining the one or more home score factors includes weighting the home data and the user data, the computer-implemented method further comprising:
 determining influential home characteristic factors, wherein the influential home characteristic factors are a subset of the home characteristic data with the highest weight; and   displaying the influential home characteristic factors to the user.   
     
     
         6 . The computer-implemented method of  claim 3 , wherein the one or more recommended actions includes at least one of: completion of a home maintenance learning module, performance of maintenance on a component of the property, an average power consumption for the property, an average water consumption for the property, or an indication of average occupancy. 
     
     
         7 . The computer-implemented method of  claim 1 , wherein generating the home score includes:
 anonymizing the home score such that anonymized underwriting can be performed using the anonymized home score.   
     
     
         8 . A computing device for evaluating and gamifying maintenance for a property by a user, the computing device comprising:
 one or more processors;   a communication unit; and   a non-transitory computer-readable medium coupled to the one or more processors and the communication unit and storing instructions thereon that, when executed by the one or more processors, cause the computing device to:
 retrieve home data for a property and user data for a user; 
 determine, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; 
 generate, based upon the one or more modified home score factors, a home score for the property; 
 determine, based upon at least one of the home data or the user data, one or more difference factors between the property and a previous property associated with the user; and 
 display the home score for the property and the one or more difference factors. 
   
     
     
         9 . The computing device of  claim 8 ,
 wherein the one or more difference factors include at least one of: (i) differences in potential weather disasters, (ii) differences in local construction codes, or (iii) differences in local fauna or flora.   
     
     
         10 . The computing device of  claim 8 , wherein the non-transitory computer-readable medium further stores instructions that, when executed by the one or more processors, cause the computing device to:
 generate one or more recommended actions for the user to perform based upon the one or more difference factors.   
     
     
         11 . The computing device of  claim 8 , wherein at least some of the home data is retrieved from one or more smart devices on the property and the home data includes at least one of: location data, environment data, first responder data, home structure data, and adherence to local construction codes. 
     
     
         12 . The computing device of  claim 8 , wherein determining the one or more home score factors includes weighting the home data and the user data, and wherein the non-transitory computer-readable medium further stores instructions that, when executed by the one or more processors, cause the computing device to:
 determine influential home characteristic factors, wherein the influential home characteristic factors are a subset of the home characteristic data with the highest weight; and   display the influential home characteristic factors to the user.   
     
     
         13 . The computing device of  claim 10 , wherein the one or more recommended actions includes at least one of: completion of a home maintenance learning module, performance of maintenance on a component of the property, an average power consumption for the property, an average water consumption for the property, or an indication of average occupancy. 
     
     
         14 . The computing device of  claim 8 , wherein generating the home score includes:
 anonymizing the home score such that anonymized underwriting can be performed using the anonymized home score.   
     
     
         15 - 20 . (canceled) 
     
     
         21 . A tangible, non-transitory computer-readable medium storing instructions for evaluating and gamifying maintenance for a property by a user that, when executed by one or more processors of a computing device, cause the computing device to:
 retrieve home data for a property and user data for a user;   determine, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data;   generate, based upon the one or more modified home score factors, a home score for the property;   determine, based upon at least one of the home data or the user data, one or more difference factors between the property and a previous property associated with the user; and   display the home score for the property and the one or more difference factors.   
     
     
         22 . The tangible, non-transitory computer-readable medium of claim  15 , wherein the one or more difference factors include at least one of: (i) differences in potential weather disasters, (ii) differences in local construction codes, or (iii) differences in local fauna or flora. 
     
     
         23 . The tangible, non-transitory computer-readable medium of claim  15 , wherein the non-transitory computer-readable medium further includes instructions that, when executed by the one or more processors, cause the computing device to:
 generate one or more recommended actions for the user to perform based upon the one or more difference factors.   
     
     
         24 . The tangible, non-transitory computer-readable medium of claim  15 , wherein at least some of the home data is retrieved from one or more smart devices on the property and the home data includes at least one of: location data, environment data, first responder data, home structure data, and adherence to local construction codes. 
     
     
         25 . The tangible, non-transitory computer-readable medium of claim  15 , wherein determining the one or more home score factors includes weighting the home data and the user data, and wherein the non-transitory computer-readable medium further stores instructions that, when executed by the one or more processors, cause the computing device to:
 determine influential home characteristic factors, wherein the influential home characteristic factors are a subset of the home characteristic data with the highest weight; and   display the influential home characteristic factors to the user.   
     
     
         26 . The tangible, non-transitory computer-readable medium of claim  15 , wherein the one or more recommended actions includes at least one of: completion of a home maintenance learning module, performance of maintenance on a component of the property, an average power consumption for the property, an average water consumption for the property, or an indication of average occupancy.