| CPC G06F 21/6245 (2013.01) [G06Q 10/1053 (2013.01)] | 14 Claims |
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1. An apparatus for securely classifying applications to posts using immutable sequential listings, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive application data, wherein the application data includes at least a user-specific historical record comprising a video resume;
validate the application data using a data integrity validator;
browse a plurality of posting entries in an immutable sequential listing;
select a posting entry of the plurality of posting entries by matching the application data to the selected posting entry, wherein matching the application data to the selected posting entry further comprises utilizing a classifier associated with a machine learning model, wherein the classifier includes a neural network, and wherein selecting the posting entry further comprises:
training the machine learning model as a function of training data and a machine learning algorithm, wherein the training data comprises a plurality of previous application data correlated with previous posting data; and
generating the selected posting entry using the trained machine learning model, wherein the application data is input to the trained machine learning model to output the selected posting entry;
derive communication data as a function of the selected posting entry;
modify the application data to remove identifying information, wherein modifying includes distorting audio in application data;
transmit the application data to a remote device as a function of the communication data; and
update, iteratively, the training data as a function of each input-output result generated by the trained machine learning model for iterative retraining of the trained machine learning model for subsequent use of the apparatus.
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