Home condition alerts based on home sensor data

1. A computer-implemented method for generating an alert related to an unsafe or unhealthy condition associated with a home environment, comprising:

monitoring, by one or more processors, sensor data associated with the home environment over a period of time;

analyzing, by the one or more processors, the sensor data associated with the home environment over the period of time in order to identify the unsafe or unhealthy condition associated with the home environment over the period of time;

obtaining, by the one or more processors, sensor data from a mobile computing device associated with a resident of the home environment over the period of time;

determining, by the one or more processors, based upon the sensor data from the mobile computing device associated with the resident of the home environment over the period of time, that the resident of the home environment is not physically present at the home environment over the period of time;

upon identifying the unsafe or unhealthy condition associated with the home environment over the period of time and determining that the resident of the home environment is not physically present at the home environment over the period of time, generating the alert, by the one or more processors, the alert indicating the identified unsafe or unhealthy condition associated with the home environment over the period of time; and

transmitting, by the one or more processors, the alert to the mobile computing device associated with the resident of the home environment.

2. The computer-implemented method of claim 1 , further comprising:

determining, by the one or more processors, a likelihood that the unsafe or unhealthy condition associated with the home environment over the period of time will result in unsafe or unhealthy conditions for one or more other home environments; and

based upon the likelihood being greater than a threshold likelihood, transmitting the alert to computing devices associated with the respective one or more other home environments.

3. The computer-implemented method of claim 2 , wherein transmitting the alert to the computing devices associated with the respective one or more other home environments includes:

prompting, by the one or more processors, residents of the respective one or more other home environments to confirm whether an unsafe or unhealthy condition exists at the respective one or more other home environments.

4. The computer-implemented method of claim 1 , further comprising:

determining, by the one or more processors, a distance between a first location associated with the home environment and a second location associated with the resident of the home environment over the period of time; and

based upon the distance between the first location and the second location being greater than a threshold distance, transmitting the alert to a computing device associated with an emergency contact of the resident of the home environment.

5. The computer-implemented method of claim 1 , further comprising:

attempting to determine, by the one or more processors, a location associated with the resident of the home environment over the period of time; and

based upon a failure to determine the location associated with the resident of the home environment over the period of time, transmitting the alert to a computing device associated with an emergency contact of the resident of the home environment.

6. The computer-implemented method of claim 1 , wherein analyzing the sensor data associated with the home environment over the period of time in order to identify the unsafe or unhealthy condition associated with the home environment over the period of time includes applying a trained machine learning model to the sensor data associated with the home environment over the period of time in order to identify the unsafe or unhealthy condition associated with the home environment over the period of time.

7. The computer-implemented method of claim 6 , further comprising:

obtaining, by the one or more processors, historical sensor data associated with historical home environments over historical periods of time, and indications of historical unsafe or unhealthy conditions associated with the historical home environments over the historical periods of time; and

training, by the one or more processors, a machine learning model to identify new unsafe or unhealthy conditions in new home environments over new periods of time based upon new sensor data associated with the new home environments, using the historical sensor data associated with historical home environments over historical periods of time, and the indications of historical unsafe or unhealthy conditions associated with the historical home environments over the historical periods of time, resulting in the trained machine learning model.

8. The computer-implemented method of claim 1 , wherein determining that the resident of the home environment is not physically present at the home environment over the period of time, based upon the sensor data from the mobile computing device associated with the resident of the home environment over the period of time, includes applying a trained machine learning model to the sensor data from the mobile computing device associated with the resident of the home environment over the period of time in order to determine that the resident of the home environment is not physically present at the home environment over the period of time.

9. The computer-implemented method of claim 8 , further comprising:

obtaining, by the one or more processors, historical sensor data associated with residents of historical home environments over historical periods of time, and indications of whether the residents were physically present at the historical home environments over the historical periods of time; and

training, by the one or more processors, a machine learning model to determine whether residents of home environments are physically present at the home environments over new periods of time based upon new sensor data associated with the residents of the home environments, using the historical sensor data associated with residents of historical home environments over historical periods of time, and indications of whether the residents were physically present at the historical home environments over the historical periods of time, resulting in the trained machine learning model.

10. A system for generating an alert related to an unsafe or unhealthy condition associated with a home environment, comprising one or more processors, and a non-transitory memory storing computer-readable instructions that when executed by the one or more processors, causes the one or more processors to:

monitor sensor data associated with the home environment over a period of time;

analyze the sensor data associated with the home environment over the period of time in order to identify the unsafe or unhealthy condition associated with the home environment over the period of time;

obtain sensor data from a mobile computing device associated with a resident of the home environment over the period of time;

determine, based upon the sensor data from the mobile computing device associated with the resident of the home environment over the period of time, that the resident of the home environment is not physically present at the home environment over the period of time;

upon identifying the unsafe or unhealthy condition associated with the home environment over the period of time and determining that the resident of the home environment is not physically present at the home environment over the period of time, generate the alert indicating the identified unsafe or unhealthy condition associated with the home environment over the period of time; and

transmit the alert to the mobile computing device associated with the resident of the home environment.

11. A non-transitory computer-readable medium for generating an alert related to an unsafe or unhealthy condition associated with a home environment storing computer-readable instructions that, when executed by one or more processors, causes the one or more processors to:

monitor sensor data associated with the home environment over a period of time;

analyze the sensor data associated with the home environment over the period of time in order to identify the unsafe or unhealthy condition associated with the home environment over the period of time;

obtain sensor data from a mobile computing device associated with a resident of the home environment over the period of time;

determine, based upon the sensor data from the mobile computing device associated with the resident of the home environment over the period of time, that the resident of the home environment is not physically present at the home environment over the period of time;

upon identifying the unsafe or unhealthy condition associated with the home environment over the period of time and determining that the resident of the home environment is not physically present at the home environment over the period of time, generate the alert indicating the identified unsafe or unhealthy condition associated with the home environment over the period of time; and

transmit the alert to the mobile computing device associated with the resident of the home environment.