| CPC G06F 16/24522 (2019.01) [G06F 16/258 (2019.01)] | 20 Claims |
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1. A method for automatically ingesting newly released documents and storing data extracted from the newly released documents in an established non-relational database for conversion into a different format, the method comprising:
identifying, via one or more backend application programming interfaces (APIs), one or more newly released documents that include data for one or more users;
automatically ingesting, via an ingestion call executed via the one or more backend APIs in response to the identifying, the one or more newly released documents;
extracting, using a computer vision model trained on a plurality of different types of documents, a set of data from the one or more newly released documents, wherein the extracting includes identifying one or more locations within respective ones of the one or more documents from which to extract information, wherein the computer vision model is trained by inputting at least a previously stored document, a document type for the previously stored document, and a document template corresponding to the document type into the computer vision model;
storing the extracted set of data in the established non-relational database storing data extracted from previously ingested documents for a plurality of users in a text-based object format;
automatically generating metatags corresponding to a plurality of attributes of data stored in the non-relational database; and
converting, by inputting the automatically generated metatags into a machine learning model trained on a plurality of metatags, data corresponding to a given user from the text-based object format to a queryable file format that is sorted by the automatically generated metatags.
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