US 12,169,772 B1
Apparatus and methods for automated mentorship using machine-learning processes
Terry Powell, Southbury, CT (US)
Assigned to TES FRANCHISING, L.L.C., Southbury, CT (US)
Filed by TES FRANCHISING, L.L.C., Southbury, CT (US)
Filed on Feb. 27, 2024, as Appl. No. 18/588,245.
Int. Cl. G06N 3/00 (2023.01); G06N 3/0464 (2023.01)
CPC G06N 3/0464 (2023.01) 18 Claims
OG exemplary drawing
 
1. An apparatus for automated mentorship using machine-learning processes, wherein the apparatus comprises:
at least a processor;
and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
receive a user profile from a user, wherein the user profile comprises at least an object enablement datum;
convert the user profile to a digital model by applying at least one classifier descriptor data tag, wherein converting the user profile to the digital model further comprises:
generating a profile classifier using historical object enablement data training data, wherein the historical object enablement data training data comprises a plurality of historical object enablement data as input correlated to a plurality of classifier descriptor data tags as output;
classifying the user profiles and itemized portions of user profiles into at least one classifier descriptor data tag using the profile classifier; and
appending descriptors to the digital model, individual parts of the model, or identified clusters of model characteristics;
generate a programmed outline for the at least an object enablement datum with a plurality of action data based on the digital model using a machine-learning process;
determine at least an action datum from the plurality of action data within the programmed outline using a heuristic model;
direct the user to a plurality of object enablement datum resources as a function of the determined at least an action datum and the programmed outline; and
display the programmed outline and the plurality of object enablement datum resources to the user.