Patents by Inventor Mehul Jayant Pandya

Mehul Jayant Pandya 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).

  • Machine learning platform for real time occupancy forecasting and resource planning
    Patent number: 11783247
    Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.
    Type: Grant
    Filed: July 28, 2022
    Date of Patent: October 10, 2023
    Assignee: Bank of America Corporation
    Inventors: Veerandra S. Srivastava, Maharaj Mukherjee, Mehul Jayant Pandya, Utkarsh Raj
  • MACHINE LEARNING PLATFORM FOR REAL TIME OCCUPANCY FORECASTING AND RESOURCE PLANNING
    Publication number: 20220366337
    Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.
    Type: Application
    Filed: July 28, 2022
    Publication date: November 17, 2022
    Inventors: Veerandra S. Srivastava, Maharaj Mukherjee, Mehul Jayant Pandya, Utkarsh Raj
  • Machine learning platform for real time occupancy forecasting and resource planning
    Patent number: 11461713
    Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.
    Type: Grant
    Filed: August 10, 2020
    Date of Patent: October 4, 2022
    Assignee: Bank of America Corporation
    Inventors: Utkarsh Raj, Mehul Jayant Pandya, Maharaj Mukherjee, Veerandra S. Srivastava