Apparatus for goal generation and a method for its use

Abstract

An apparatus for goal generation is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a goal datum related to a user, wherein the goal datum comprises behavioral parameters. The memory additionally instructs the processor to classify the goal datum to a user goal. The classification comprises training a goal classifier using a goal training data. Goal training data contains a plurality of data entries containing a plurality of goal datum inputs correlated to a plurality of goal outputs. The classification also comprises classifying the goal datum to the goal using the goal classifier. The classifier assigns the goal as a function of the classification. A goal path is generated as a function of the classification of the goal datum to a goal, wherein the goal path is divided into waypoints.

1 . An apparatus for goal generation, wherein the apparatus comprises:
 at least a processor; and   a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
 generate a goal datum related to a user as a function of at least a behavioral parameter of the user wherein the at least a behavior parameter comprises an aptitude analysis of the user as a function of a previous user goal datum; 
 generate at least one user goal based on the goal datum, wherein generating the at least one user goal comprises:
 iteratively training a goal machine learning model using training data wherein the training data comprises at least a goal datum input and a plurality of user goals output updating the training data as a function of the goal datum and the at least one user goal; and 
 retraining the goal machine learning model as a function of the updated training data; 
 
 and 
 generate a goal path as a function of the at least one user goal, wherein generating the goal path further comprises:
 generating a plurality of waypoints as a function of the user goal and the goal datum; and 
 generating the goal path as a function of the plurality of waypoints. 
 
   
     
     
         2 . The apparatus of  claim 1 , wherein the goal datum comprises the pecuniary knowledge of the user. 
     
     
         3 . The apparatus of  claim 1 , wherein the goal datum comprises a plurality of action parameters. 
     
     
         4 . The apparatus of  claim 1 , wherein the goal datum is generated as a function of a survey datum. 
     
     
         5 . The apparatus of  claim 1 , wherein a goal ranking is generated as a function of the classification of the goal datum. 
     
     
         6 . The apparatus of  claim 5 , wherein user is assigned the goal datum as a function of the goal ranking. 
     
     
         7 . The apparatus of  claim 1 , wherein the goal comprises an educational goal. 
     
     
         8 . The apparatus of  claim 1 , wherein the goal comprises a vocational goal. 
     
     
         9 . The apparatus of  claim 1 , wherein the goal comprises a pecuniary goal. 
     
     
         10 . The apparatus of  claim 1 , wherein a decentralized fiat is generated as a function of completing the plurality of waypoints. 
     
     
         11 . A method for goal generation, wherein the method comprises:
 generating, using a processor, a goal datum related to a user as a function of at least a behavioral parameter of the user wherein the at least a behavior parameter comprises an aptitude analysis of the user as a function of a previous user goal datum;   generate at least one user goal, wherein generating the at least one user goal comprises:
 iteratively training a goal machine learning model using training data wherein the training data comprises at least a goal datum input and a plurality of user goals output; 
 updating the training data as a function of the goal datum and the at least one user goal; 
 retraining the goal machine learning model as a function of the updated training data; 
   assigning, using the processor, the user goal as a function of the classification; and
 generating, using the processor, a goal path, wherein generating the goal path further comprises:
 generating a plurality of waypoints as a function of the plurality of user goal and the goal datum; and 
 generating the goal path as a function of the plurality of waypoints. 
 
   
     
     
         12 . The method of  claim 11 , wherein the goal datum comprises the pecuniary knowledge of the user. 
     
     
         13 . The method of  claim 11 , wherein the goal datum comprises a plurality of action parameters. 
     
     
         14 . The method of  claim 11 , wherein the goal datum is generated as a function of a survey datum. 
     
     
         15 . The method of  claim 11 , wherein a goal ranking is generated as a function of the classification of the goal datum. 
     
     
         16 . The method of  claim 15 , wherein the user is assigned the goal as a function of the goal ranking. 
     
     
         17 . The method of  claim 11 , wherein the goal comprises an educational goal. 
     
     
         18 . The method of  claim 11 , wherein the goal comprises a vocational goal. 
     
     
         19 . The method of  claim 11 , wherein the goal comprises an pecuniary goal. 
     
     
         20 . The method of  claim 11 , wherein a decentralized fiat is generated as a function of completion of the plurality of waypoints.