Abstract: An apparatus and method for generating a video record using audio is presented. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory contains instructions configuring the at least a processor to receive a user input from a user, select a set of record generation questions for the user as a function of the user input, transmit an audio question to the user as a function of the selected set of record generation questions, record a user response as a function of the audio question, and generate a video record as a function of the recorded user responses.

Abstract: Aspects relate to apparatuses and methods for selectively inserting text into a video resume. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a video resume from a user, divide the video resume is into temporal sections, acquire a plurality of textual inputs from a user, wherein the plurality of textual inputs pertains to the same user of received video resume, classify the plurality of textual inputs to corresponding temporal sections of the received video resume and display, as a function of the classification, the received video resume with a corresponding plurality of textual inputs.

Abstract: An apparatus for creating a video record is disclosed. The apparatus includes a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to prompt a user with an initial request, receive an initial response from the user, prompt the user with a subsequent request based on the initial response, receive a subsequent response from the user, and create a video record as a function of the initial response and the subsequent response.

Abstract: Aspects relate to apparatuses and methods for linking posting data to a plurality of user identifiers. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a plurality of user identifiers relating to a plurality of users, receive posting data from a posting generator of a plurality of posting generators, identify a plurality of keywords within the posting data, generate a keyword ranking, match a plurality of keywords of the keyword ranking to the plurality of user identifiers, and generate, as a function of the matching, a ranking of the plurality of user identifiers based on a superiority criterion of each user identifier using a fuzzy set inference system.

Abstract: 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.

Abstract: Aspects relate to apparatuses and methods for rating the quality of a posting. An exemplary apparatus includes at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to acquire a plurality of inputs from at least a posting, classify the posting to a posting category as a function of the plurality of inputs, calculate a quality metric as a function of the posting category and the plurality of inputs, wherein the quality metric reflects a level of completeness regarding the arrangement of inputs in a posting, and generate, as a function of the quality metric, a ordering of the posting, wherein the order relates to a probable level of focus a user may use to fill the posting.

Abstract: An apparatus for matching video records with postings using audiovisual data processing is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a posting including a plurality of criteria, receive a video record, extract a plurality of textual elements from the video record, identify a plurality of credentials from the video record, generate a compatibility score for the video record based on the plurality of criteria and the plurality of credentials, and match the video record with the posting based on the compatibility score.

Abstract: Aspects relate to apparatuses and methods for using machine learning to verify lost user data in a resource data storage system. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to identify a plurality of lost user data stored in a resource data storage system potentially associated with a particular user of a plurality of users, verify, using a recovery program, the plurality of lost user data potentially associated with the particular user and link, as a function of the verification, the plurality of lost user data to the particular user.

Abstract: An apparatus for status management of immutable sequential listing records for postings is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a posting wherein the posting is stored on an immutable sequential listing and includes a description. The processor generates a status score for the posting as a function of activities related to the posting, wherein generating the status score for the posting includes training a machine learning model using training data. The machine learning model receives at least activities related to the posting as input and outputs the status score. The processor compares the status score to a threshold value and updates the description of the posting on the immutable sequential listing as a function of the comparison between the status score and the threshold value.

Abstract: Aspects relate to apparatuses and methods for determining and processing dormant data records on an immutable sequential listing. An exemplary apparatus includes a processor configured to monitor a plurality of timestamps associated with a plurality of data records stored on the immutable sequential listing, wherein the data record includes a job resume, detect inactivity in a first data record of the plurality of data records over a predetermined time period as a function of a first timestamp of the first data record, wherein the predetermined time period may be set by the user, tag, as a function of the inactivity, the first data record as an inactive first data record, and process, as a function inactivity, the first data record, wherein processing may include adding additional data or archiving inactive data records from the immutable sequential listing.

Abstract: A method of score generation for applicant tracking includes publishing, by a computing device, a job posting, creating, by the computing device, a plurality of subject person profiles as a function of the job posting, determining, by the computing device, a plurality of scores, wherein each score represents at least an attribute of a subject person profile of the plurality of subject person profiles, calculating, by the computing device, a plurality of talent and risk calculation scores as a function of the plurality of scores, and generating, by the computing device, a candidate grouping, wherein generating the candidate grouping further comprises receiving a plurality of score ideals as a function of the job posting, filtering the plurality of talent and risk calculation scores as a function of the score ideals using a filtering algorithm, generating the candidate grouping as a function of the filtering.