Patents by Inventor Shilpi Bhattacharyya

Shilpi Bhattacharyya 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).

  • Parking spot locator based on personalized predictive analytics
    Patent number: 11748636
    Abstract: In an approach to creating and using a reinforcement learning model for personalizing a recommendation of a parking spot, one or more computer processors receive a first destination associated with the vehicle. One or more computer processors determine a parking spot availability in proximity to the destination. One or more computer processors determine a recommended parking spot location. One or more computer processors display the recommended parking spot location to the user. One or more computer processors determine a first parking spot selection. One or more computer processors receive a first satisfaction rating associated with the recommended parking spot location.
    Type: Grant
    Filed: November 4, 2019
    Date of Patent: September 5, 2023
    Assignee: International Business Machines Corporation
    Inventors: Jun Zhu, Saurabh Sanjay Nachane, Shikhar Kwatra, Shilpi Bhattacharyya
  • Video analysis system for optimizing an activity protocol
    Patent number: 11222198
    Abstract: A method implements an activity protocol that has been established for a living entity. The method directs an artificial intelligence system to compare a video of an activity by a living entity to an activity protocol that has been established for the living entity, and then receives an indication from the artificial intelligence system that the activity by the living entity does not match the activity protocol that has been established for the living entity. In response to receiving the indication from the artificial intelligence system that the activity by the living entity does not match the activity protocol that has been established for the living entity, the method directs a monitoring entity to implement the activity protocol that has been established for the living entity.
    Type: Grant
    Filed: November 21, 2019
    Date of Patent: January 11, 2022
    Assignee: International Business Machines Corporation
    Inventors: Shikhar Kwatra, Saurabh Sanjay Nachane, Jun Zhu, Shilpi Bhattacharyya
  • VIDEO ANALYSIS SYSTEM FOR OPTIMIZING AN ACTIVITY PROTOCOL
    Publication number: 20210158027
    Abstract: A method implements an activity protocol that has been established for a living entity. The method directs an artificial intelligence system to compare a video of an activity by a living entity to an activity protocol that has been established for the living entity, and then receives an indication from the artificial intelligence system that the activity by the living entity does not match the activity protocol that has been established for the living entity. In response to receiving the indication from the artificial intelligence system that the activity by the living entity does not match the activity protocol that has been established for the living entity, the method directs a monitoring entity to implement the activity protocol that has been established for the living entity.
    Type: Application
    Filed: November 21, 2019
    Publication date: May 27, 2021
    Inventors: SHIKHAR KWATRA, SAURABH SANJAY NACHANE, JUN ZHU, SHILPI BHATTACHARYYA
  • PARKING SPOT LOCATOR BASED ON PERSONALIZED PREDICTIVE ANALYTICS
    Publication number: 20210133603
    Abstract: In an approach to creating and using a reinforcement learning model for personalizing a recommendation of a parking spot, one or more computer processors receive a first destination associated with the vehicle. One or more computer processors determine a parking spot availability in proximity to the destination. One or more computer processors determine a recommended parking spot location. One or more computer processors display the recommended parking spot location to the user. One or more computer processors determine a first parking spot selection. One or more computer processors receive a first satisfaction rating associated with the recommended parking spot location.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 6, 2021
    Inventors: Jun Zhu, Saurabh Sanjay Nachane, Shikhar Kwatra, Shilpi Bhattacharyya