APPARATUSES AND METHODS FOR PARSING AND COMPARING VIDEO RESUME DUPLICATIONS

1 . An apparatus for parsing and comparing resume video duplications, 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:

acquire a plurality of video elements from an existing video resume, wherein the existing video resume comprises at least an image component;

recognize subject-specific data of the existing video resume as a function of the at least an image component, wherein the subject-specific data comprises verbal content and non-verbal content;

recognize at least a keyword of the existing video resume as a function of the subject-specific data;

recognize at least a feature of the existing video resume as a function of the subject-specific data;

compare the subject-specific data to a target video resume; and

determine, as a function of the comparison result, a duplication coefficient for the target resume video.

2 . The apparatus of claim 1 , wherein the at least a processor is further configured to recognize the at least a keyword of the existing video resume as a function of the at least an image component using optical character recognition.

3 . The apparatus of claim 1 , wherein the at least a processor is further configured to recognize the at least a feature of the existing video resume as a function of the verbal content of the subject-specific data of the existing video resume.

4 . The apparatus of claim 1 , wherein the at least a processor is further configured to recognize the verbal content of the existing video resume using an audiovisual speech recognition process.

5 . The apparatus of claim 1 , wherein the at least a processor is further configured to recognize the verbal content and the non-verbal content as a function of the at least an image component using a machine vision process.

6 . The apparatus of claim 1 , wherein the at least a processor is further configured to query a target video feature keyword of the target video resume.

7 . The apparatus of claim 6 , wherein the at least a processor is further configured to query the at least an image component of the existing video resume as a function of the target video feature keyword.

8 . The apparatus of claim 1 , wherein the at least a processor is further configured to classify the non-verbal content of the existing video resume to the target video using a non-verbal classifier.

9 . The apparatus of claim 1 , wherein comparing the subject-specific data to the target video resume comprises comparing the subject-specific data to job descriptive data using a candidate classifier.

10 . The apparatus of claim 9 , wherein the at least a processor is further configured to rank two or more existing video resumes based on a relevance to the target video resume using the candidate classifier.

11 . A method for parsing and comparing resume video duplications, the method comprising:

acquiring, using at least a processor, a plurality of video elements from an existing video resume, wherein the existing video resume comprises at least an image component;

recognizing, using the at least a processor, subject-specific data of the existing video resume as a function of the at least an image component, wherein the subject-specific data comprises the verbal content and the non-verbal content;

recognizing, using the at least a processor, the at least a keyword of the existing video resume as a function of the subject-specific data;

recognizing, using the at least a processor, the at least a feature of the existing video resume as a function of the subject-specific data;

comparing, using the at least a processor, the subject-specific data to a target video resume; and

determining, using the at least a processor and as a function of the comparison result, a duplication coefficient for the target resume video.

12 . The method of claim 11 , further comprising:

recognizing, using the at least a processor, the at least a keyword of the existing video resume as a function of the at least an image component using optical character recognition.

13 . The method of claim 11 , further comprising:

recognizing, using the at least a processor, the at least a feature of the existing video resume as a function of the verbal content of the subject-specific data of the existing video resume.

14 . The method of claim 11 , further comprising:

recognizing, using the at least a processor, the verbal content of the existing video resume using an audiovisual speech recognition process.

15 . The method of claim 11 , further comprising:

recognizing, using the at least a processor, the verbal content and the non-verbal content as a function of the at least an image component using a machine vision process.

16 . The method of claim 11 , further comprising querying, using the at least a processor, a target video feature keyword of the target video resume.

17 . The method of claim 16 , further comprising querying, using the at least a processor, the at least an image component of the existing video resume as a function of the target video feature keyword.

18 . The method of claim 16 , further comprising:

classifying, using the at least a processor, the non-verbal content of the existing video resume to the target video using a non-verbal classifier.

19 . The method of claim 11 , wherein comparing the subject-specific data to the target video resume comprises comparing the subject-specific data to job descriptive data using a candidate classifier.

20 . The method of claim 19 , further comprising:

ranking, using the at least a processor, two or more existing video resumes based on a relevance to the target video resume using the candidate classifier.