Patents by Inventor Swetha SEENAPPA

Swetha SEENAPPA 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).

  • Predicting a completion percentage of an electronic process
    Patent number: 12524606
    Abstract: Aspects of the present disclosure relate to assisting users in completing forms. Embodiments include retrieving data associated with a form comprising a total number of fields of the form and an indication of a level of complexity of a field of the form. Embodiments further include retrieving data associated with a user comprising a number of fields of the form the user has completed and an amount of time the user has spent completing a respective field of the form. Embodiments further include providing the data associated with the form and the data associated with the user to a machine learning model, and predicting an amount of user progress in completing the form, or a an amount of time required for the user to complete a given field of the form. Embodiments further include receiving the prediction from the machine learning model.
    Type: Grant
    Filed: February 29, 2024
    Date of Patent: January 13, 2026
    Assignee: INTUIT INC.
    Inventors: John Samuel, Swetha Seenappa, Srivathsal Venkataramu
  • PREDICTING A COMPLETION PERCENTAGE OF AN ELECTRONIC PROCESS
    Publication number: 20250278549
    Abstract: Aspects of the present disclosure relate to assisting users in completing forms. Embodiments include retrieving data associated with a form comprising a total number of fields of the form and an indication of a level of complexity of a field of the form. Embodiments further include retrieving data associated with a user comprising a number of fields of the form the user has completed and an amount of time the user has spent completing a respective field of the form. Embodiments further include providing the data associated with the form and the data associated with the user to a machine learning model, and predicting an amount of user progress in completing the form, or a an amount of time required for the user to complete a given field of the form. Embodiments further include receiving the prediction from the machine learning model.
    Type: Application
    Filed: February 29, 2024
    Publication date: September 4, 2025
    Inventors: John SAMUEL, Swetha SEENAPPA, Srivathsal VENKATARAMU