Systems and methods for generating a home score and modifications for a user

A computing device for evaluating 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 first home data for a first property including first home score factors and second home data for a second property, wherein a user is associated with the first property;
• calculate, using a trained machine learning evaluation model, one or more second home score factors based upon the second home data, wherein the trained machine learning evaluation model calculates the one or more second home score factors based upon at least a portion of the second home data identified as statistically significant;
• train, responsive to an indication to train the trained machine learning evaluation model including a condition that the one or more second home score factors are accurately representative of the property, the trained machine learning evaluation model using at least (i) the one or more second home score factors, (ii) the first home data, and (iii) the second home data;
• detect that the user is to be associated with the second property;
• detect, based upon the first home score factors and the one or more second home score factors, one or more local environmental differences indicative of differences in home score between the first property and the second property;
• and
• generate a learning module for the user for improving or maintaining the one or more second home score factors based upon the one or more local environmental differences indicative of the differences in home score between the first property and the second property.

A tangible, non-transitory computer-readable medium storing instructions for evaluating 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 first home data for a first property including first home score factors and second home data for a second property, wherein a user is associated with the first property;
• calculate, using a trained machine learning evaluation model, one or more second home score factors based upon the second home data, wherein the trained machine learning evaluation model calculates the one or more second home score based upon at least a portion of the second home data identified as statistically significant;
• train, responsive to an indication to train the trained machine learning evaluation model including a condition that the one or more second home score factors are accurately representative of the property, the trained machine learning evaluation model using at least (i) the one or more second home score factors, (ii) the first home data, and (iii) the second home data;
• detect that the user is to be associated with the second property;
• detect, based upon the first home score factors and the one or more second home score factors, one or more local environmental differences indicative of differences in home score between the first property and the second property;
• and
• generate a learning module for the user for improving or maintaining the one or more second home score factors based upon the one or more local environmental differences indicative of the differences in home score between the first property and the second property.