Apparatuses and methods for integrated application tracking

Abstract

Aspects relate to apparatuses and methods for integrated application tracking. An exemplary apparatus includes a cloud platform, a processor, and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a plurality of user data related to a user, parse the plurality of user data into a key work record, generate a user metric, as a function of the key work record, based on a plurality of weighted values reflecting desirability, wherein generating the user metric includes identifying at least a negative factor in the key work record, and adjusting the plurality of weighted values as a function of the at least a negative factor and a temporal displacement of the at least a negative factor.

What is claimed is: 
     
         1 . An apparatus for integrated application tracking, the apparatus comprising:
 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:
 receive a plurality of user data comprising at least a video resume; 
 parse the plurality of user data into a key work record; 
 verify the key work record as a function of a verification classifier, wherein verifying the key work record comprises parsing at least an output of the verification classifier into a first data bin comprising verified elements of user data and a second data bin comprising unverified elements of user data; and 
 generate a user metric as a function of the key work record, wherein generating the user metric comprises:
 identifying at least a negative factor in the key work record; 
 identifying at least a positive factor in the key work record; 
 adjusting a plurality of weighted values as a function of the at least a negative factor, a negative factor temporal displacement, the at least a positive factor, and a positive factor temporal displacement; and 
 generating the user metric as based on the plurality of weighted values. 
 
   
     
     
         2 . The apparatus of  claim 1 , wherein the memory contains instructions further configuring the at least a processor to perform an audiovisual speech recognition (AVSR) process on the video resume. 
     
     
         3 . The apparatus of  claim 1 , wherein receiving the plurality of user data comprises receiving the plurality of user data from a user database on a cloud platform. 
     
     
         4 . The apparatus of  claim 3 , wherein the cloud platform comprises a plurality of job listings. 
     
     
         5 . The apparatus of  claim 1 , wherein parsing the plurality of user data into the key work record comprises parsing the plurality of user data into the key work record using a classifier. 
     
     
         6 . The apparatus of  claim 5 , wherein parsing the plurality of user data into the key work record using a classifier comprises:
 receiving training data, wherein the training data comprises at least a job description; and   training the classifier using the training data.   
     
     
         7 . The apparatus of  claim 5 , wherein parsing the plurality of user data into the key work record comprises extracting, using a language processing module, one or more keywords from a job listing. 
     
     
         8 . The apparatus of  claim 1 , wherein the memory contains instructions further configuring the at least a processor to generate, using a fuzzy set inference system, a plurality of sub scores as a function of a desirability criterion. 
     
     
         9 . The apparatus of  claim 8 , wherein the memory contains instructions further configuring the at least a processor to output an annotated copy of the key work record, 
     
     
         10 . The apparatus of  claim 1 , wherein the memory contains instructions further configuring the processor to re-evaluate the user metric on a predetermined routine basis. 
     
     
         11 . A method for integrated application tracking, the method comprising:
 receiving, by at least a processor, a plurality of user data comprising at least a video resume;   parsing, by the at least a processor, the plurality of user data into a key work record;   verifying, by the at least a processor, the key work record as a function of a verification classifier, wherein verifying the key work record comprises parsing at least an output of the verification classifier into a first data bin comprising verified elements of user data and a second data bin comprising unverified elements of user data; and   generating, by the at least a processor, a user metric as a function of the key work record, wherein generating the user metric comprises:
 identifying at least a negative factor in the key work record; 
 identifying at least a positive factor in the key work record; 
 adjusting a plurality of weighted values as a function of the at least a negative factor, a negative factor temporal displacement, the at least a positive factor, and a positive factor temporal displacement; and 
 generating the user metric as based on the plurality of weighted values. 
   
     
     
         12 . The method of  claim 11 , further comprising performing, by the at least a processor, an audiovisual speech recognition (AVSR) process on the video resume. 
     
     
         13 . The method of  claim 11 , wherein receiving the plurality of user data comprises receiving the plurality of user data from a user database on a cloud platform. 
     
     
         14 . The method of  claim 13 , wherein the cloud platform comprises a plurality of job listings. 
     
     
         15 . The method of  claim 11 , wherein parsing the plurality of user data into the key work record comprises parsing the plurality of user data into the key work record using a classifier. 
     
     
         16 . The method of  claim 15 , wherein parsing the plurality of user data into the key work record using a classifier comprises:
 receiving training data, wherein the training data comprises at least a job description; and   training the classifier using the training data.   
     
     
         17 . The method of  claim 15 , wherein parsing the plurality of user data into the key work record comprises extracting, using a language processing module, one or more keywords from a job listing. 
     
     
         18 . The method of  claim 11 , further comprising generating, by the at least a processor and using a fuzzy set inference system, a plurality of sub scores as a function of a desirability criterion. 
     
     
         19 . The method of  claim 8 , further comprising outputting, by the at least a processor, an annotated copy of the key work record, 
     
     
         20 . The method of  claim 11 , further comprising re-evaluating, by the at least a processor, the user metric on a predetermined routine basis.