Patents by Inventor SRIVIDHYA RADHAKRISHNA

SRIVIDHYA RADHAKRISHNA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for extracting structured data
    Patent number: 12614024
    Abstract: The present application describes methods and systems which may automatically extract structured data. One method includes receiving a structured data file in a first data file structure; generating a visual representation of the structured data file; extracting a featureset including a plurality of features from the visual representation via an image classification model; comparing the featureset of the visual representation to one or more featuresets associated with other structured data files; based on a determination that the featureset is within a predetermined threshold distance from an identified featureset from among the one or more featuresets, selecting a template associated with identified featureset, the template including a definition of at least one key and at least one position; using the selected template to identify key-value pairs within the structured data file; and automatically generating an output file in a common data file structure from information in the structured data file.
    Type: Grant
    Filed: January 25, 2023
    Date of Patent: April 28, 2026
    Assignee: Target Brands, Inc.
    Inventors: Sharath Kumar, Sajin Raveendran, Srividhya Radhakrishna, Ankit Agarwal
  • SYSTEM AND METHOD FOR EXTRACTING STRUCTURED DATA
    Publication number: 20240249071
    Abstract: The present application describes methods and systems which may automatically extract structured data. One method includes receiving a structured data file in a first data file structure; generating a visual representation of the structured data file; extracting a featureset including a plurality of features from the visual representation via an image classification model; comparing the featureset of the visual representation to one or more featuresets associated with other structured data files; based on a determination that the featureset is within a predetermined threshold distance from an identified featureset from among the one or more featuresets, selecting a template associated with identified featureset, the template including a definition of at least one key and at least one position; using the selected template to identify key-value pairs within the structured data file; and automatically generating an output file in a common data file structure from information in the structured data file.
    Type: Application
    Filed: January 25, 2023
    Publication date: July 25, 2024
    Inventors: SHARATH KUMAR, SAJIN RAVEENDRAN, SRIVIDHYA RADHAKRISHNA, ANKIT AGARWAL