Data processing system with machine learning engine to provide output generating functions

1. A method, comprising:

receiving, from a user computing device, a user input including user information for a first user;

identifying, based on the user information, a product associated with the first user;

identifying, based on the product, at least one collection procedure to be performed by the user computing device;

sending, to the user computing device, a request to perform the at least one collection procedure, wherein the request comprises information corresponding to the at least one collection procedure and instructions to perform the at least one collection procedure at the user computing device;

receiving, from the user computing device, data collected by the user computing device while performing the at least one collection procedure;

analyzing, using one or more machine learning datasets, the data to evaluate health and lifestyle of the first user, wherein the analyzing comprises scanning the data to identify, using the one or more machine learning datasets, at least one of:

images that are indicative of the health or lifestyle of the first user, or

communication including language that is indicative of the health or lifestyle of the first user;

determining, based on the health and lifestyle of the first user, whether the first user is eligible for a pricing adjustment of at least a component of the product; and

sending, to the user computing device for display, an output indicating whether the first user is eligible for the pricing adjustment.

2. The method of claim 1 , wherein identifying the at least one collection procedure comprises identifying, based on the product, one or more types of behavior data, related to the first user, to be collected by the user computing device,

wherein the request to perform the at least one collection procedure comprises instructions for the user computing device to collect the one or more types of behavior data related to the first user,

wherein receiving the data comprises receiving behavior data related to the first user and corresponding to the one or more types of behavior data, and

wherein the one or more types of behavior data comprises one or more of: a social media post, an email, a text message, a chat message, an image, a video, and information related to gym membership of the first user.

3. The method of claim 1 , wherein identifying the at least one collection procedure comprises identifying, based on the product, at least one interactive test to be executed on the user computing device,

wherein the request to perform the at least one collection procedure comprises information corresponding to the at least one interactive test and instructions for the user computing device to execute the at least one interactive test,

wherein receiving the data comprises receiving test data collected by one or more sensors associated with user computing device during execution of the at least one interactive test by the user computing device, and

wherein the at least one interactive test comprises one or more of: a body measurement test, a biometric test, a mobility test, a reflex test, and a cognitive skills test.

4. The method of claim 3 , wherein identifying the at least one interactive test further comprises:

identifying one or more sensors associated with the user computing device to be used during execution of the at least one interactive test, and

wherein the instructions to execute the at least one interactive test at the user computing device comprise an instruction to enable the one or more sensors.

5. The method of claim 3 , further comprising:

prior to sending the information corresponding to the at least one interactive test to the user computing device, generating a user interface for performing the at least one interactive test,

wherein sending the information comprises sending the user interface.

6. The method of claim 1 , further comprising:

calculating, based on the analyzed data, one or more behavior scores for one or more types of behavior data collected during the at least one collection procedure; and

determining, based on the analyzed data, test results of at least one interactive test performed during the at least one collection procedure,

wherein determining whether the first user is eligible for the pricing adjustment comprises:

determining whether one or more of the one or more behavior scores meets a corresponding first threshold value; and

determining whether one or more of the test results meets a corresponding second threshold value.

7. The method of claim 6 , further comprising:

based on a determination that at least one of: the one or more of the one or more behavior scores meets the corresponding first threshold value or the one or more of the test results meets the corresponding second threshold value:

determining that the first user is eligible for the pricing adjustment; and

initiating the pricing adjustment of the at least a component of the product.

8. The method of claim 6 , further comprising:

based on a determination that: at least one of the one or more behavior scores is below the corresponding first threshold value or at least one of the test results is below the corresponding second threshold value, determining that eligibility of the first user for the pricing adjustment is uncertain,

wherein the output indicates that eligibility of the first user for the pricing adjustment could not be determined and additional information is required.

9. The method of claim 1 , further comprising:

sending, to the user computing device and based on determining that criteria of the at least one collection procedure has been met, instructions to deactivate one or more sensors.

10. The method of claim 1 , further comprising:

identifying a second user associated with the first user;

sending, to a device associated with the second user, a request for second data;

receiving, from the device associated with the second user, the second data; and

analyzing, using the one or more machine learning datasets, the second data from the device associated with the second user to identify at least one of:

additional images that are indicative of the health or lifestyle of the first user, or

additional communication including language that is indicative of the health or lifestyle of the first user.

11. A multi-source data evaluation computing device, comprising:

a processing unit comprising a processor; and

a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the multi-source data evaluation computing device to:

receive, from a user computing device, a user input including user information for a first user;

identify, based on the user information, a product associated with the first user;

identify, based on the product, at least one collection procedure to be performed by the user computing device;

send, to the user computing device, a request to perform the at least one collection procedure, wherein the request comprises information corresponding to the at least one collection procedure and instructions to perform the at least one collection procedure at the user computing device;

receive, from the user computing device, data collected by the user computing device while performing the at least one collection procedure;

analyze, using one or more machine learning datasets, the data to evaluate health and lifestyle of the first user by scanning the data to identify, using the one or more machine learning datasets, at least one of:

images that are indicative of the health or lifestyle of the first user, or

communication including language that is indicative of the health or lifestyle of the first user;

determine, based on the health and lifestyle of the first user, whether the first user is eligible for a pricing adjustment of at least a component of the product; and

send, to the user computing device for display, an output indicating whether the first user is eligible for the pricing adjustment.

12. The multi-source data evaluation computing device of claim 11 , wherein identifying the at least one collection procedure comprises identifying, based on the product, one or more types of behavior data, related to the first user, to be collected by the user computing device,

wherein the request to perform the at least one collection procedure comprises instructions for the user computing device to collect the one or more types of behavior data related to the first user,

wherein receiving the data comprises receiving behavior data related to the first user and corresponding to the identified one or more types of behavior data, and

wherein the one or more types of behavior data comprises one or more of: a social media post, an email, a text message, a chat message, an image, a video, and information related to gym membership of the first user.

13. The multi-source data evaluation computing device of claim 11 , wherein identifying the at least one collection procedure comprises identifying, based on the product, at least one interactive test to be executed on the user computing device,

wherein the request to perform the at least one collection procedure comprises information corresponding to the at least one interactive test and instructions for the user computing device to execute the at least one interactive test,

wherein receiving the data comprises receiving test data collected by one or more sensors associated with user computing device during execution of the at least one interactive test by the user computing device, and

wherein the at least one interactive test comprises one or more of: a body measurement test, a biometric test, a mobility test, a reflex test, and a cognitive skills test.

14. The multi-source data evaluation computing device of claim 13 , wherein the instructions further cause the multi-source data evaluation computing device to identify the at least one interactive test by identifying one or more sensors associated with the user computing device to be used during execution of the at least one interactive test, and

wherein the instructions to execute the at least one interactive test at the user computing device comprise an instruction to enable the one or more sensors.

15. The multi-source data evaluation computing device of claim 13 , wherein the instructions further cause the multi-source data evaluation computing device to:

prior to sending the information corresponding to the at least one interactive test to the user computing device, generate a user interface for performing the at least one interactive test, wherein sending the information further comprises sending the user interface.

16. The multi-source data evaluation computing device of claim 11 , wherein the instructions further cause the multi-source data evaluation computing device to:

calculate, based on the analyzed data, one or more behavior scores for one or more types of behavior data collected during the at least one collection procedure, and

determine, based on the analyzed data, test results of the at least one interactive test performed during the at least one collection procedure,

determine whether the first user is eligible for the pricing adjustment by:

determining whether one or more of the one or more behavior scores meets a corresponding first threshold value; and

determining whether one or more of the test results meets a corresponding second threshold value.

17. The multi-source data evaluation computing device of claim 16 , wherein the instructions further cause the multi-source data evaluation computing device to:

based on a determination that at least one of: the one or more of the one or more behavior scores meets the corresponding first threshold value or the one or more of the test results meets the corresponding second threshold value:

determine that the first user is eligible for the pricing adjustment; and

initiate the pricing adjustment of the at least a component of the product.

18. The multi-source data evaluation computing device of claim 16 , wherein the instructions further cause the multi-source data evaluation computing device to:

based on a determination that at least one of: the one or more behavior scores is below the corresponding first threshold value or at least one of the test results is below the corresponding second threshold value, determine that eligibility of the first user for the pricing adjustment is uncertain,

wherein the output indicates that the eligibility of the first user for the pricing adjustment could not be determined and additional information is required.

19. A method, comprising:

identifying a first user having one or more products;

identifying a product, of the one or more products, requiring pricing reevaluation, based on determining that a predetermined time has elapsed since the product was last evaluated;

sending, to one or more computing devices, a request for behavior data related to the first user;

receiving, from at least one of the one or more computing devices, the behavior data related to the first user;

analyzing, using one or more machine learning datasets, the behavior data to evaluate a lifestyle of the first user, wherein the analyzing comprises scanning the data to identify, using the one or more machine learning datasets, at least one of:

images that are indicative of the lifestyle of the first user, or

communication including language that is indicative of the lifestyle of the first user;

determining, based on the lifestyle of the first user, whether the first user is eligible for a pricing adjustment of at least a component of the product; and

sending, to the user computing device for display, an output indicating whether the first user is eligible for the pricing adjustment.

20. The method of claim 19 , further comprising:

calculating, based on the analyzed behavior data, one or more behavior scores; and

based on a determination that one or more of the one or more behavior scores meets a corresponding first threshold value:

determining that the first user is eligible for the pricing adjustment; and

initiating the pricing adjustment of the at least a component of the product.