APPARATUSES AND METHODS FOR QUERYING AND TRANSCRIBING VIDEO RESUMES
Aspects relate to apparatuses and methods for generating queries and transcribing video resumes. An exemplary apparatus includes at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive, from a posting generator, a plurality of posting inputs from a plurality of postings, receive a video resume from a user, generate a plurality of queries as a function of the video resume based on a plurality of posting categories, transcribe, as a function of the plurality of queries, a plurality of user inputs from the video resume, wherein the plurality of user inputs is related to attributes of a user, and classify the plurality of user inputs to the plurality of posting inputs to match the user to the plurality of postings.
1 . An apparatus for generating queries and transcribing video resumes, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
receive, from a posting generator, a plurality of posting inputs from a plurality of postings;
receive a video resume from a user;
generate a plurality of queries as a function of the video resume based on a plurality of posting categories;
transcribe, as a function of the plurality of queries, a plurality of user inputs from the video resume, wherein the plurality of user inputs is related to attributes of a user; and
classify the plurality of user inputs to the plurality of posting inputs to match the user to the plurality of postings.
2 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the processor to compress the video resume to optimize transmission.
3 . The apparatus of claim 1 , wherein transcribing the plurality of user inputs comprises using automatic speech recognition.
4 . The apparatus of claim 1 , wherein transcribing the plurality of user inputs comprises using optical character recognition.
5 . The apparatus of claim 1 , wherein classifying the plurality of user inputs comprises using a classification algorithm configured to output matches between the user and the plurality of postings.
6 . The apparatus of claim 5 , wherein classifying the plurality of user inputs further comprises training the classification algorithm using algorithm training data including a posting database and a video resume database.
7 . The apparatus of claim 6 , wherein the memory contains instructions further configuring the processor to:
generate a similarity score; and
rank the matches between the user and the plurality of postings of the classification algorithm.
8 . The apparatus of claim 7 , wherein the similarity score is calculated using a fuzzy inference system.
9 . The apparatus of claim 7 , wherein the similarity score is calculated using dynamic time warping on the basis of a similarity matrix.
10 . The apparatus of claim 7 , wherein ranking the matches between the user and the plurality of postings of the classification algorithm is comprises using linear regression techniques.
11 . A method for generating queries and transcribing video resumes, the method comprising:
receiving, using a computing device, from a posting generator, a plurality of posting inputs from a plurality of postings;
receiving, using a computing device, a video resume from a user;
generating, using a computing device, a plurality of queries as a function of the received video resume to a plurality of posting categories;
transcribing, using a computing device, as a function of the plurality of queries, a plurality of user inputs from the video resume, wherein user inputs is related to attributes of a user; and
classifying, using a computing device, the transcribed plurality of user inputs to the plurality of posting inputs to match a user to the plurality of postings.
12 . The method of claim 11 , wherein the computing device is configured further to compress the video resume to optimize transmission.
13 . The method of claim 11 , wherein transcribing the plurality of user inputs comprises using automatic speech recognition.
14 . The method of claim 11 , wherein transcribing the plurality of user inputs comprises using optical character recognition.
15 . The method of claim 11 , wherein classifying the transcribed plurality of user inputs comprises using a classification algorithm configured to output matches between the user and the plurality of postings.
16 . The method of claim 15 , wherein classifying the transcribed plurality of user inputs further comprises training the classification algorithm using algorithm training data including a posting database and a video resume database.
17 . The method of claim 16 , wherein the computing device is configured further to:
generate a similarity score; and
rank the matches between the user and the plurality of postings of the classification algorithm.
18 . The method of claim 17 , wherein the similarity score is calculated using a fuzzy inference system.
19 . The method of claim 17 , wherein the similarity score is calculated using dynamic time warping on the basis of a similarity matrix.
20 . The method of claim 17 , wherein ranking output data of the classification algorithm is comprises using linear regression techniques.