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; and
generate a similarity score of the matches of the user to the plurality of postings through dynamic time warping.
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 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 ranking the matches between the user and the plurality of postings of the classification algorithm is comprises using linear regression techniques.
10. 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; and
generating a similarity score of the matches of the user to the plurality of postings through dynamic time warping.
11. The method of claim 10 , wherein the computing device is configured further to compress the video resume to optimize transmission.
12. The method of claim 10 , wherein transcribing the plurality of user inputs comprises using automatic speech recognition.
13. The method of claim 10 , wherein transcribing the plurality of user inputs comprises using optical character recognition.
14. The method of claim 10 , 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.
15. The method of claim 14 , 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.
16. The method of claim 15 , wherein the computing device is configured further to rank the matches between the user and the plurality of postings of the classification algorithm.
17. The method of claim 16 , wherein the similarity score is calculated using a fuzzy inference system.
18. The method of claim 16 , wherein ranking output data of the classification algorithm is comprises using linear regression techniques.