System for artificial intelligence-based engine for generating recommendations for resource allocation

A computer program product for an artificial intelligence-based engine for generating recommendations for resource allocation, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• receiving, from an endpoint device, a query to identify a resource allocation associated with a target user, wherein the endpoint device is a user computing device of a third-party user associated with the target user;
• accessing one or more sources of data over a network, wherein the one or more sources of data comprises resource data associated with one or more users;
• computing a match score for each of the one or more users, wherein the match score indicates a degree of analogousness of each of the one or more users to the target user, wherein the match score comprises one or more sub-scores, wherein each of the one or more sub-scores indicates a degree of analogousness between each of the one or more users and the target user with respect to a characteristic;
• analyzing, through a machine learning module, the resource data and the query received from the endpoint device;
• based on analyzing the resource data and the query received from the endpoint device, identifying one or more analogous users associated with the target user, wherein identifying the one or more analogous users comprises filtering the one or more users based on a threshold match score;
• generating the resource allocation based on identifying the one or more analogous users;
• and
• presenting the resource allocation on a graphical user interface of the endpoint device.

A computer-implemented method for an artificial intelligence-based engine for generating recommendations for resource allocation, the computer-implemented method comprising:

• receiving, from an endpoint device, a query to identify a resource allocation associated with a target user, wherein the endpoint device is a user computing device of a third-party user associated with the target user;
• accessing one or more sources of data over a network, wherein the one or more sources of data comprises resource data associated with one or more users;
• computing a match score for each of the one or more users, wherein the match score indicates a degree of analogousness of each of the one or more users to the target user, wherein the match score comprises one or more sub-scores, wherein each of the one or more sub-scores indicates a degree of analogousness between each of the one or more users and the target user with respect to a characteristic;
• analyzing, through a machine learning module, the resource data and the query received from the endpoint device;
• based on analyzing the resource data and the query received from the endpoint device, identifying one or more analogous users associated with the target user, wherein identifying the one or more analogous users comprises filtering the one or more users based on a threshold match score;
• generating the resource allocation based on identifying the one or more analogous users;
• and
• presenting the resource allocation on a graphical user interface of the endpoint device.