CPC G11B 27/031 (2013.01) [G06V 10/82 (2022.01); G06V 20/41 (2022.01); G06V 20/49 (2022.01); G10L 15/26 (2013.01); G10L 25/57 (2013.01); G11B 27/34 (2013.01); H04N 5/91 (2013.01)] | 18 Claims |
1. An apparatus for automated video record generation, the apparatus comprising:
a plurality of sensors configured to:
capture at least audiovisual data from a user;
generate at least an audiovisual datum based on the at least audiovisual data from the user;
at least a processor communicatively connected to the plurality of sensors; and
a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
receive at least an employment datum from the user, wherein the employment datum comprises information on a job position the user is interested in being a candidate for;
generate a plurality of record prompts based on the at least an employment datum, wherein generating the plurality of record prompts comprises:
receiving training data, wherein the training data correlates the at least an employment datum and the job position the user is interested in being a candidate for utilizing a neural network classifier, wherein the neural network classifier is configured to classify the at least an employment datum to a template, and wherein the template comprises a list of record prompts in a specific order;
training a machine learning process as a function of the training data;
outputting the plurality of record prompts as a function of the machine learning process and the at least an employment datum;
convert the at least an audiovisual datum into a video file; and
generate a video record of the user based on the at least an audiovisual datum, wherein generating the video record further comprises:
identifying a plurality of temporal sections of the video file;
classifying each temporal section of the plurality of temporal sections to a record prompt of the plurality of record prompts, wherein the plurality of record prompts is arranged in a prompt ordering; and
assembling the plurality of classified temporal sections into the video record using the prompt ordering.
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