Patent ID: 11875109
Assignee: HIGHRADIUS CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A Machine Learning (ML)-based computing system for facilitating correction of data in documents, the ML-based computing system comprising:
one or more hardware processors; and
a memory coupled to the one or more hardware processors, wherein the memory comprises a plurality of modules in the form of programmable instructions executable by the one or more hardware processors, and wherein the plurality of modules comprises:
a data receiver module configured to receive one or more documents from one or more electronic devices associated with one or more users, wherein the one or more documents are associated with one or more customers of the one or more users;
a data processing module configured to scan the received one or more documents by using a document processing system for obtaining one or more mis-captured data fields present inside the received one or more documents, wherein the one or more mis-captured data fields are in the form of one or more strings, and wherein each of the one or more strings comprises a set of characters;
a data obtaining module configured to obtain a historical correction data associated with the one or more customers from a storage unit, wherein the historical correction data corresponds to one or more corrections made by the one or more users to correct wrongly captured data fields of a set of documents associated with the one or more customers;
a data determination module configured to determine one or more deltas associated with the one or more mis-captured data fields based on the obtained historical correction data by using a trained data correction-based ML model, wherein the one or more deltas are used as one or more common correction patterns to be applied on the one or more strings of the one or more mis-captured data fields to correct the one or more mis-captured data fields;
a data parsing module configured to parse the determined one or more deltas into one or more datasets by using a data parsing technique, wherein the one or more datasets comprise: an instruction set, a position set and a variable set, and wherein the one or more datasets are human readable datasets;
a data generation module configured to generate one or more correct data fields corresponding to the one or more mis-captured data fields based on the parsed one or more datasets by using the trained data correction-based ML model; and
a data replacement module configured to automatically replace the one or more mis-captured data fields with the generated one or more correct data fields based on one or more predefined rules.