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

Claim 9:
10. A Machine Learning (ML)-based method for facilitating correction of data in documents, the ML-based method comprising:
receiving, by one or more hardware processors, 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;
scanning, by the one or more hardware processors, 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;
obtaining, by the one or more hardware processors, 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;
determining, by the one or more hardware processors, 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;
parsing, by the one or more hardware processors, 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;
generating, by the one or more hardware processors, 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

automatically replacing, by the one or more hardware processors, the one or more mis-captured data fields with the generated one or more correct data fields based on one or more predefined rules.