CPC H04L 9/3265 (2013.01) [G06Q 10/06311 (2013.01); G06Q 10/1053 (2013.01); H04L 9/3236 (2013.01); H04L 9/50 (2022.05)] | 19 Claims |
1. An apparatus for candidate tracking using classifiers, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the at least a processor and including instructions configuring the at least a processor to:
receive an assorter-linked data set associated with a first candidate, wherein the assorter-linked data set comprises a first video resume;
extract at least a feature from the first video resume through a machine vision process;
receive an endpoint-linked data set associated with a second candidate, wherein the endpoint-linked data set comprises a second video resume;
extract at least a feature from the second video resume through a machine vision process;
receive a transfer request, wherein the transfer request comprises an action datum, wherein the action datum comprises compensation data that includes a transfer of payment between an endpoint and an assorter, wherein the compensation data is generated using a machine-learning model as a function of an education level of the first candidate;
determine a degree of match between the assorter-linked data set and the endpoint-linked data set, wherein the degree of match comprises a similarity ranking between the at least a feature from the first video resume and the at least a feature from the second video resume;
determine the first candidate and the second candidate include a same candidate as a function of the similarity ranking;
storing the determination of the same candidate in an immutable sequential listing, wherein the immutable sequence listing comprises blocks containing entries of data further comprising the determination of the same candidate; and
verifying the action datum of the transfer request as a function of the immutable sequential listing.
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