APPARATUS AND METHODS FOR SCREENING USERS

1 . An apparatus for screening users for determining suitable candidates for employment, 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:

verify the user device by sending a verification link to the user device, and receiving verification confirmation from the user device;

receive, from the user device, a verbal communication and a document associated with a user;

parse, using a chatbot, at least one user characteristic comprising a keyword from the verbal communication, wherein the keyword is related to education or employment of the user;

detect an image feature of the document using a classifier by comparing the image feature with stored features and choosing a nearest match;

generate a request to the user, by the chatbot, based on the keyword and the image feature associated with the user;

screen the user as a function of the at least one user characteristic and the image feature, wherein the screening comprises:

generating a compatibility score based on a compatibility of the at least one user characteristic, the document, and a posting including job criteria;

determining a confidence score, wherein the confidence score comprises a quantitative value reflecting a confidence in the screening; and

posting the verbal communication, the document, the compatibility score, and the confidence score on an immutable sequential listing.

2 . The apparatus of claim 1 , wherein the chatbot is configured to prompt the user to respond orally to a request, wherein the chatbot is configured to convert a response to text.

3 . The apparatus of claim 2 , wherein the verbal communication comprises a visual recording of the user.

4 . The apparatus of claim 1 , wherein the chatbot, utilizing a machine-learning module, is configured to output a request to the user based on an input of the posting.

5 . The apparatus of claim 1 , wherein the chatbot, utilizing a machine-learning module, is configured to output a request to the user based on an input of a user document.

6 . The apparatus of claim 1 , wherein the chatbot receives the verbal communication and prompts the user with a request based on the verbal communication.

7 . The apparatus of claim 1 , wherein the confidence score is based on the at least a user characteristic.

8 . The apparatus of claim 1 , wherein the confidence score is based on whether the processor receives a user document.

9 . The apparatus of claim 1 , wherein the chatbot prompts the user with a request, wherein the request is based on the posting.

10 . The apparatus of claim 1 , wherein the confidence score is based on an amount of requirements for criteria of the posting.

11 . A method for screening users, the method comprising:

verifying, at a processor, a user device by sending a verification link to the user device, and receiving verification confirmation from the user device;

receiving, by the processor and from the user device, a verbal communication and a document associated with a user;

parsing, by the processor and using a chatbot, at least one user characteristic comprising a keyword from the verbal communication, wherein the keyword is related to education or employment of the user;

detecting, by the processor, an image feature of the document using a classifier by comparing the image feature with stored features and choosing a nearest match;

generating, by the processor, a request to the user, by the chatbot, based on the keyword and the image feature associated with the user;

screening, by the processor, the user as a function of the at least one user characteristic and the image feature, wherein the screening comprises:

generating a compatibility score based on a compatibility of the at least one user characteristic, the document, and a posting including job criteria;

determining a confidence score, wherein the confidence score comprises a quantitative value reflecting a confidence in the screening; and

posting the verbal communication, the document, the compatibility score, and the confidence score on an immutable sequential listing.

12 . The method of claim 11 , wherein the chatbot is configured to prompt the user to respond orally to a request, wherein the chatbot is configured to convert a response to text.

13 . The method of claim 12 , wherein the verbal communication comprises a visual recording of the user.

14 . The method of claim 11 , wherein the chatbot, utilizing a machine-learning module, is configured to output a request to the user based on an input of the posting.

15 . The method of claim 11 , wherein the chatbot, utilizing a machine-learning module, is configured to output a request to the user based on an input of a user document.

16 . The method of claim 11 , wherein the chatbot receives the verbal communication and prompts the user with a request based on the verbal communication.

17 . The method of claim 11 , wherein the confidence score is based on the at least a user characteristic.

18 . The method of claim 11 , wherein the confidence score is based on whether the processor receives a user document.

19 . The method of claim 11 , wherein the chatbot prompts the user with a request, wherein the request is based on the posting.

20 . The method of claim 11 , wherein the confidence score is based on an amount of requirements for criteria of the posting.