Abstract: In some implementations, a device may obtain, via an asynchronous event associated with a data streaming platform, one or more document images associated with an account. The device may detect, based on the asynchronous event, a verification event associated with the account, wherein the verification event is associated with one or more verification parameters. The device may obtain, via one or more document information extraction operations, extracted information from the one or more document images. The device may communicate, with one or more data sources, to obtain verification information that is based on the extracted information. The device may determine, based on the verification information and the one or more verification parameters, feedback information associated with the account. The device may transmit, via the data streaming platform, the feedback information based on obtaining the one or more document images.

Abstract: Methods and systems are for generating real-time resolutions of errors arising from user submissions, computer processing tasks, etc. For example, the methods and systems described herein recite improvements for detecting errors in one or more user submissions and providing resolutions in real-time. To provide these improvements, the methods and systems use a machine learning model that is trained to return probability error scores based on a plurality of variables. By using the multivariate approach, the methods and systems may produce a highly accurate detection.