Apparatus and method for generating an endpoint path associated with a user

Abstract

The invention is directed towards an apparatus and method for generating an endpoint path associated with a user. A processor is configured to receiver user data relating to an action datum. The processor is configured to select an endpoint. The endpoint is then used to generate an endpoint path where a user's skills are taken into account. Once the user completes an endpoint, a token certificate is generated.

What is claimed is: 
     
         1 . An apparatus for generating an endpoint path associated with a user, 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:
 retrieve an endpoint resultant from a user; 
 generate an endpoint path wherein the endpoint path comprises at least an endpoint; 
 receive user data indicating a performance of at least a task corresponding to the at least an endpoint, wherein the user data comprises a skills data set describing at least one skill; 
 classify the skills data set into a strength category; 
 match the strength category to the at least an endpoint; 
 transmit the endpoint path to a user; and 
 produce a token certificate as a function of the match. 
   
     
     
         2 . The apparatus of  claim 1 , wherein at least an endpoint comprises a goal of a user. 
     
     
         3 . The apparatus of  claim 1 , wherein generating the endpoint path comprises:
 aggregating a plurality of component scores from a population; and   determining the at least an endpoint by weighting the plurality of component scores.   
     
     
         4 . The apparatus of  claim 3 , wherein generating the endpoint path further comprises:
 inputting the weighted plurality of component scores into a machine-learning algorithm trained using training data, wherein the training data comprises a plurality of endpoint resultants as input correlated to a plurality of endpoint paths as output.   
     
     
         5 . The apparatus of  claim 1 , wherein classifying the skills data set into the strength category comprises identifying the strength category from the skills data set as a function of a user submitted skill ranking. 
     
     
         6 . The apparatus of  claim 1 , wherein classifying the skills data set into the strength category comprises utilizing a fuzzy set classification function to classify the at least one skill into the strength category. 
     
     
         7 . The apparatus of  claim 1 , wherein classifying the skills data set into the strength category comprises:
 training a strength classifier using strength training data, wherein the strength training data comprises a plurality of skills data sets as input correlated to a plurality of strength categories as output; and   classifying the skills data set into the strength category using the trained strength classifier.   
     
     
         8 . The apparatus of  claim 1 , wherein the memory further contains instructions configuring the at least a processor to categorize a plurality of users as a function of the classified strength category. 
     
     
         9 . The apparatus of  claim 1 , where the skills data set further comprises a deficiency in the at least one skill. 
     
     
         10 . The apparatus of  claim 1 , wherein matching the strength category to the at least an endpoint comprises validating the performance of the at least a task corresponds to the at least an endpoint. 
     
     
         11 . A method for generating an endpoint path associated with a user, wherein the method comprises:
 retrieving, by at least a processor, an endpoint resultant from a user;   generating, by the at least a processor, an endpoint path wherein the endpoint path comprises at least an endpoint;   receiving, by the at least a processor, user data indicating a performance of at least a task corresponding to the at least an endpoint, wherein the user data comprises a skills data set describing at least one skill;   classifying the skills data set into a strength category;   matching the strength category to the at least an endpoint;   transmitting, by the at least a processor, the endpoint path to a user; and   producing, by the at least a processor, a token certificate as a function of the match.   
     
     
         12 . The method of  claim 11 , wherein at least an endpoint comprises a goal of a user. 
     
     
         13 . The method of  claim 11 , wherein generating the endpoint path comprises:
 aggregating a plurality of component scores from a population; and   determining the at least an endpoint by weighting the plurality of component scores.   
     
     
         14 . The method of  claim 13 , wherein generating the endpoint path further comprises:
 inputting the weighted plurality of component scores into a machine-learning algorithm trained using training data, wherein the training data comprises a plurality of endpoint resultants as input correlated to a plurality of endpoint paths as output.   
     
     
         15 . The method of  claim 11 , wherein classifying the skills data set into the strength category comprises identifying the strength category from the skills data set as a function of a user submitted skill ranking. 
     
     
         16 . The method of  claim 11 , wherein classifying the skills data set into the strength category comprises utilizing a fuzzy set classification function to classify the at least one skill into the strength category. 
     
     
         17 . The method of  claim 11 , wherein classifying the skills data set into the strength category comprises:
 training a strength classifier using strength training data, wherein the strength training data comprises a plurality of skills data sets as input correlated to a plurality of strength categories as output; and   classifying the skills data set into the strength category using the trained strength classifier.   
     
     
         18 . The method of  claim 11 , wherein the method further comprises categorizing a plurality of users as a function of the classified strength category. 
     
     
         19 . The method of  claim 11 , where the skills data set further comprises a deficiency in the at least one skill. 
     
     
         20 . The method of  claim 11 , wherein matching the strength category to the at least an endpoint comprises validating the performance of the at least a task corresponds to the at least an endpoint.