Systems and methods for generating and dynamically adjusting artificial intelligence engine parameters in a distributed network

1 . A system for generating and dynamically adjusting artificial intelligence engine parameters in a distributed network, the system comprising:

a processing device;

a non-transitory storage device containing instructions when executed by the processing device, causes the processing device to perform the steps of:

identify user data using associated with a user account;

analyze, by an artificial intelligence engine, the user data based on one or more defined parameters used to train the artificial intelligence engine;

generate an output by the artificial intelligence engine based on the analysis of the user data;

generate, by the artificial intelligence engine, a report comprising information of at least one of the analysis of the user data for each of the one or more defined parameters or one or more reasons for the output;

automatically transmit, to a user device, the report, wherein the report is transmitted to the user device in a distributed ledger environment;

receive at least one user input in response to the report, wherein the at least one user input comprises a selection of data stored in a primary distributed ledger that, based on the selection, is to be sent to an intermediate distributed ledger so that the selection of data can be shared with a third party or an entity via the intermediate distributed ledger;

generate, by the artificial intelligence engine, a regenerated output based on the at least one user input, wherein the at least one user input is applied to the one or more defined parameters; and

automatically transmit, to the user device, a regenerated report based on the regenerated output.

2 . The system of claim 1 , wherein the user data is received from at least one of an initial user input or one or more external sources.

3 . The system of claim 1 , wherein the at least one user input is received from the one or more external sources.

4 . The system of claim 1 , wherein the one or more defined parameters are automatically modified by the artificial intelligence engine based on the at least one user input.

5 . The system of claim 1 , wherein the selection of data is automatically generated by the artificial intelligence engine for the intermediate distributed ledger based on the third party or the entity.

6 . The system of claim 1 , wherein the at least one user input comprises one or more of:

a modification of the user data;

additional user data;

a request for further details on the report or reasons for the output; or

one or more hypothetical questions about the output.

7 . The system of claim 6 , wherein the non-transitory storage device contains further instructions when executed by the processing device, causes the processing device to perform the steps of:

generate an interface component comprising one or more hypothetical outputs based on the user input;

transmit the interface component to the user device, wherein the user device comprises a graphical user interface; and

trigger a configuration of the graphical user interface of the user device with the interface component.

8 . A computer implemented method for generating and dynamically adjusting artificial intelligence engine parameters in a distributed network, the computer implemented method comprising:

identifying user data using associated with a user account;

analyzing, by an artificial intelligence engine, the user data based on one or more defined parameters used to train the artificial intelligence engine;

generating an output by the artificial intelligence engine based on the analysis of the user data;

generating, by the artificial intelligence engine, a report comprising information of at least one of the analysis of the user data for each of the one or more defined parameters or one or more reasons for the output;

automatically transmitting, to a user device, the report, wherein the report is transmitted to the user device in a distributed ledger environment;

receiving at least one user input in response to the report, wherein the at least one user input comprises a selection of data stored in a primary distributed ledger that, based on the selection, is to be sent to intermediate distributed ledger so that the selection of data ca be shared with a third party or an entity via the intermediate distributed ledger;

generating, by the artificial intelligence engine, a regenerated output based on the at least one user input, wherein the at least one user input is applied to the one or more defined parameters; and

automatically transmitting, to the user device, a regenerated report based on the regenerated output.

9 . The computer implemented method of claim 8 , wherein the selection of data is automatically generated by the artificial intelligence engine for the intermediate distributed ledger based on the third party or the entity.

10 . The computer implemented method of claim 8 , wherein the computer implemented method further comprises:

generating an interface component comprising one or more hypothetical outputs based on the user input;

transmitting the interface component to the user device, wherein the user device comprises a graphical user interface; and

triggering a configuration of the graphical user interface of the user device with the interface component.

11 . A computer program product for generating and dynamically adjusting artificial intelligence engine parameters in a distributed network, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable code portions embodied therein, the computer readable code portions comprising:

an executable code portion configured to identify user data using associated with a user account;

an executable code portion configured to analyze, by an artificial intelligence engine, the user data based on one or more defined parameters used to train the artificial intelligence engine;

an executable code portion configured to generate an output by the artificial intelligence engine based on the analysis of the user data;

an executable code portion configured to generate, by the artificial intelligence engine, a report comprising information of at least one of the analysis of the user data for each of the one or more defined parameters or one or more reasons for the output;

an executable code portion configured to automatically transmit, to a user device, the report, wherein the report is transmitted to the user device in a distributed ledger environment;

an executable code portion configured to receive at least one user input in response to the report, wherein the at least one user input comprises a selection of data stored in a primary distributed ledger that, based on the selection, is to be sent to an intermediate distributed ledger so that the selection of data can be shared with a third party or an entity via the intermediate distributed ledger;

an executable code portion configured to generate, by the artificial intelligence engine, a regenerated output based on the at least one user input, wherein the at least one user input is applied to the one or more defined parameters; and

an executable code portion configured to automatically transmit, to the user device, a regenerated report based on the regenerated output.

12 . The computer program product of claim 11 , wherein the selection of data is automatically generated by the artificial intelligence engine for the intermediate distributed ledger based on the third party or the entity.

13 . The computer program product of claim 11 , wherein the computer readable code portions further comprise:

an executable code portion configured to generate an interface component comprising one or more hypothetical outputs based on the user input;

an executable code portion configured to transmit the interface component to the user device, wherein the user device comprises a graphical user interface; and

an executable code portion configured to trigger a configuration of the graphical user interface of the user device with the interface component.