SYSTEMS AND METHODS FOR DETERMINING A TOTAL AMOUNT OF CARBON EMISSIONS OF AN INDIVIDUAL

1 . A computer-implemented method for determining a total amount of carbon emissions of an individual during a predetermined time duration, the method comprising:

collecting, by a computing device, one or more individual telematics data associated with a user during a predetermined time duration:

generating, by the computing device, first lifestyle data indicative of one or more lifestyle activities engaged by the user based at least in part upon the one or more individual telematics data; and

estimating, by the computing device, a total amount of carbon emissions associated with the user during the predetermined time duration based at least in part upon the first lifestyle data.

2 . The method of claim 1 , further comprising:

generating, by the computing device, one or more first questions tailored to the user based at least in part upon the one or more individual telematics data;

presenting, by the computing device, the one or more first questions to the user;

receiving, in response to presenting the one or more first questions to the user and by the computing device, one or more first responses from the user; and generating, by the computing device, second lifestyle data indicative of one or more additional lifestyle activities engaged by the user based at least in part upon the one or more first responses.

3 . The method of claim 2 , wherein the estimating the total amount of carbon emissions associated with the user during the predetermined time duration includes estimating the total amount of carbon emissions associated with the user during the predetermined time duration based at least in part upon the first lifestyle data and the second lifestyle data.

4 . The method of claim 1 , further comprising:

collecting, by the computing device, one or more sets of general telematics data of one or more users;

collecting, by the computing device, one or more sets of general lifestyle data associated with the one or more users; and

training, by the computing device, a first model using the one or more sets of general telematics data and the one or more sets of general lifestyle data,

wherein:

the one or more sets of general telematics data indicates driving behaviors of the one or more users, and

the one or more sets of general lifestyle data indicates one or more lifestyle activities engaged by the one or more users.

5 . The method of claim 4 , wherein the collecting the one or more sets of general lifestyle data associated with the one or more users includes:

collecting, by the computing device, sensor data from one or more sensors associated with the one or more users, the sensor data indicative of one or more lifestyle activities engaged by the one or more users;

analyzing, by the computing device, the sensor data to select one or more lifestyle activities engaged by the one or more users that produce carbon emissions;

providing, by the computing device, one or more second questions to the one or more users; and

receiving, in response to providing the one or more second questions and by the computing device, one or more second responses from the one or more users, wherein the one or more sets of general lifestyle data includes the selected lifestyle activities and the one or more second responses.

6 . The method of claim 4 , w herein the generating the first lifestyle data indicative of one or more lifestyle activities engaged by the user includes generating, by at least the first model, the first lifestyle data indicative of one or more lifestyle activities engaged by the user based at least in part upon the individual telematics data.

7 . The method of claim 1 , further comprising

collecting, by the computing device, one or more lifestyle activity sensor data of the one or more users, the one or more lifestyle activity sensor data indicative of one or more lifestyle activities engaged by the one or more users;

collecting, by the computing device, carbon emissions data associated with the one or more lifestyle activities of the one or more users, the carbon emissions data indicative of carbon emissions produced during the one or more lifestyle activities; and

training, by the computing device, a second model using the one or more lifestyle activity sensor data and the carbon emissions data.

8 . The method of claim 7 , wherein the estimating the total amount of carbon emissions of the individual includes estimating, by at least the second model, the total amount of carbon emissions of the individual during the predefined duration.

9 . The method of claim 1 , further comprising:

determining, by the computing device, whether the total amount of carbon emissions of the individual exceeds a predetermined threshold; and

transmitting, in response to determining that the total amount of carbon emissions of the individual exceeds the predetermined threshold, a notification to the individual indicating that the total amount of carbon emissions of the individual during the predetermined time duration exceeded the predetermined threshold.

10 . A computing device for determining a total amount of carbon emissions of an individual during a predetermined time duration, the computing device comprising:

a processor; and

a memory having a plurality of instructions stored thereon that, when executed by the processor, causes the computing device to:

collect one or more individual telematics data associated with a user during a predetermined time duration;

generate first lifestyle data indicative of one or more lifestyle activities engaged by the user based at least in part upon the one or more individual telematics data; and

estimate a total amount of carbon emissions associated with the user during the predetermined time duration based at least in part upon the first lifestyle data.

11 . The computing device of claim 10 , wherein the plurality of instructions, when executed, further cause the computing device to:

generate one or more first questions tailored to the user based at least in part upon the one or more individual telematics data;

present the one or more first questions to the user;

receive, in response to the one or more first questions being presented to the user, one or more first responses from the user; and

generate second lifestyle data indicative of one or more additional lifestyle activities engaged by the user based at least in part upon the one or more first responses.

12 . The computing device of claim 11 , wherein the estimating the total amount of carbon emissions associated with the user during the predetermined time duration includes estimating the total amount of carbon emissions associated with the user during the predetermined time duration based at least in part upon the first lifestyle data and the second lifestyle data.

13 . The computing device of claim 10 , wherein the plurality of instructions, when executed, further cause the computing device to:

collect one or more sets of general telematics data of one or more users,

collect one or more sets of general lifestyle data associated with the one or more users; and

train a first model using the one or more sets of general telematics data and the one or more sets of general lifestyle data,

wherein:

the one or more sets of general telematics data indicates one or more driving behaviors of the one or more users, and

the one or more sets of general lifestyle data indicates one or more lifestyle activities engaged by the one or more users.

14 . The computing device of claim 13 , wherein to collect the one or more sets of general lifestyle data associated with the one or more users includes to:

collect sensor data from one or more sensors associated with the one or more users, the sensor data indicative of one or more activities engaged by the one or more users;

analyze the sensor data to select one or more lifestyle activities engaged by the one or more users that produce carbon emissions;

provide one or more second questions to the one or more users; and

receive, in response to the one or more second questions being provided, one or more second responses from the one or more users,

wherein the one or more sets of general lifestyle data includes the selected lifestyle activities and the one or more second responses.

15 . The computing device of claim 13 , wherein to generate the first lifestyle data indicative of lifestyle activities engaged by the user includes to generate, by at least the first model, the first lifestyle data indicative of lifestyle activities engaged by the user based at least in part upon the individual telematics data.

16 . The computing device of claim 10 , wherein the plurality of instructions, when executed, further cause the computing device to:

collect one or more lifestyle activity sensor data of the one or more users, the one or more lifestyle activity sensor data indicative of one or more lifestyle activities engaged by the one or more users;

collect carbon emissions data associated with the one or more lifestyle activities of the one or more users, the carbon emissions data indicative of carbon emissions produced during the one or more lifestyle activities, and

train a second model using the one or more lifestyle activity sensor data and the carbon emissions data.

17 . The computing device of claim 16 , wherein to estimate the total individual carbon measures produced by the user includes to estimate, by at least the second model, the total individual carbon measures produced by the user during the predefined duration.

18 . A non-transitory computer-readable medium storing instructions for determining a total amount of carbon emissions of an individual during a predetermined time duration, the instructions when executed by one or more processors of a computing device, cause the computing device to:

collect one or more individual telematics data associated with a user during a predetermined time duration;

generate first lifestyle data indicative of one or more lifestyle activities engaged by the user based at least in part upon the one or more individual telematics data; and

estimate a total amount of carbon emissions associated with the user during the predetermined time duration based at least in part upon the first lifestyle data.

19 . The non-transitory computer-readable medium of claim 18 , wherein the instructions when executed by the one or more processors further cause the computing device to:

collect one or more sets of general telematics data of one or more users;

collect one or more sets of general lifestyle data associated with the one or more users; and

train a first model using the one or more sets of general telematics data and the one or more sets of general lifestyle data,

wherein the one or more sets of general telematics data indicates driving behaviors of the one or more users,

wherein the one or more sets of general lifestyle data indicates one or more lifestyle activities engaged by the one or more users, and

wherein to generate the first lifestyle data indicative of one or more lifestyle activities engaged by the user includes to generate, by at least the first model, the first lifestyle data indicative of one or more lifestyle activities engaged by of the user based at least in part upon the individual telematics data.

20 . The non-transitory computer-readable medium of claim 18 , wherein the instructions when executed by the one or more processors further cause the computing device to:

collect one or more lifestyle activity sensor data of the one or more users, the one or more lifestyle activity sensor data indicative of one or more lifestyle activities engaged by the one or more users;

collect carbon emissions data associated with the one or more lifestyle activities of the one or more users, the carbon emissions data indicative of carbon emissions produced during the one or more lifestyle activities; and

train a second model using the one or more lifestyle activity sensor data and the carbon emissions data,

wherein to estimate the total individual carbon measures produced by the user includes to estimate, by at least the second model, the total individual carbon measures produced by the user during the predefined duration.