Apparatus and methods for creating a video record

1. An apparatus for creating a video record, the apparatus comprising:

a processor communicatively connected to a user device; and

a memory communicatively connected to the processor, the memory containing instructions configuring the processor to:

receive a selection of at least one posting from the user device;

prompt a user with an initial request, wherein prompting the user with an initial request comprises determining the initial request based on a keyword in the at least one posting, the determining of the initial request comprising:

training an initial request module using initial request training data, wherein the initial request training data correlates the at least one posting and the keyword to the initial request; and

generating, using the trained initial request module, the initial request based on the at least one posting;

receive an initial response, in video format including speech content comprising an audio and an image recording, from the user in response to the initial request;

generate an audio vector, from the initial response, by using frequency coefficients or a spectrogram derived from raw audio samples;

generate an image vector, from the initial response, by implementing image processing for lip reading using a machine learning algorithm;

implement the machine learning algorithm comprising:

(i) training iteratively the machine learning algorithm using a training dataset applied to an input layer of nodes, one or more intermediate layers, and an output layer of nodes by creating one or more connections between the input layer of nodes and the output layer of nodes,

(ii) adjusting the one or more connections and one or more weights between nodes in adjacent layers of the machine learning algorithm to iteratively update the output layer of nodes by updating the training dataset applied to the input layer of nodes, and

(iii) calculating a weighted sum of the input layer of nodes by adding a bias to the weighted sum of the input layer of nodes,

predict the speech content in the initial response by concatenating the generated image vector and the audio vector;

prompt the user with a subsequent request based on the predicted speech content of the initial response;

receive a subsequent response from the user in response to the subsequent request;

create a video record as a function of the initial response and the subsequent response, wherein the video record excludes pauses and camera adjustments within the initial response and the subsequent response; and

posting the training dataset, the initial response, the subsequent response, and the created video record on an immutable sequential listing or a blockchain, including a master list comprising a hash-table used to locate a requestor-linked data store.

2. The apparatus of claim 1 , wherein the processor is configured to determine the initial request based on a user document.

3. The apparatus of claim 1 , wherein the processor is configured to determine the initial request based on a keyword selected by the user.

4. The apparatus of claim 1 , wherein the processor is configured to determine the subsequent request based on the posting.

5. The apparatus of claim 1 , wherein the initial response and the subsequent response comprise a visual component.

6. The apparatus of claim 1 , wherein the processor is configured to determine a category corresponding to the user.

7. The apparatus of claim 6 , wherein the subsequent request is associated with the category.

8. The apparatus of claim 1 , wherein the video record comprises an audio recording of the initial response and the subsequent response.

9. The apparatus of claim 1 , wherein the processor is configured to determine a score based on a duration of the initial response and a duration of the subsequent response.

10. A method for creating a video record, the method comprising:

receiving a selection of at least one posting from a user device;

prompting, by a processor, a user with an initial request, wherein prompting the user with an initial request comprises determining the initial request based on a keyword in the at least one posting, the determining of the initial request comprising:

training an initial request module using initial request training data, wherein the initial request training data correlates the at least one posting and the keyword to the initial request; and

generating, using the trained initial request module, the initial request based on the at least one posting;

receiving, at the processor, an initial response, in video format including speech content comprising an audio and an image recording, from the user in response to the initial request;

generating, by the processor, an audio vector, from the initial response, by using frequency coefficients or a spectrogram derived from raw audio samples;

generating, by the processor, an image vector from the initial response, by implementing image processing for lip reading using a machine learning algorithm;

implementing, by the processor, the machine learning algorithm comprising:

(i) training iteratively the machine learning algorithm using a training dataset applied to an input layer of nodes, one or more intermediate layers, and an output layer of nodes by creating one or more connections between the input layer of nodes and the output layer of nodes,

(ii) adjusting the one or more connections and one or more weights between nodes in adjacent layers of the machine learning algorithm to iteratively update the output layer of nodes by updating the training dataset applied to the input layer of nodes, and

(iii) calculating a weighted sum of the input layer of nodes by adding a bias to the weighted sum of the input layer of nodes,

predicting, by the processor, the speech content in the initial response by concatenating the generated image vector and the audio vector;

prompting, by the processor, the user with a subsequent request based on the predicted speech content of the initial response;

receiving, at the processor, a subsequent response from the user in response to the subsequent request;

creating, by the processor, a video record as a function of the initial response and the subsequent response, wherein the video record excludes pauses and camera adjustments within the initial response and the subsequent response; and

posting, by the processor, the training dataset, the initial response, the subsequent response, and the created video record on an immutable sequential listing or a blockchain, including a master list comprising a hash-table used to locate a requestor-linked data store.

11. The method of claim 10 , wherein the processor is configured to determine the initial request based on a user document.

12. The method of claim 10 , wherein the processor is configured to determine the initial request based on a keyword selected by the user.

13. The method of claim 10 , wherein the processor is configured to determine the subsequent request based on the posting.

14. The method of claim 10 , wherein the initial response and the subsequent response comprise a visual component.

15. The apparatus of claim 10 , wherein the processor is configured to determine a category corresponding to the user.

16. The method of claim 15 , wherein the subsequent request is associated with the category.

17. The method of claim 10 , wherein the video record comprises an audio recording of the initial response and the subsequent response.

18. The method of claim 10 , wherein the processor is configured to determine a score based on a duration of the initial response and a duration of the subsequent response.