Patents by Inventor Rashid Ahmad KHAN

Rashid Ahmad KHAN 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).

  • Method and system for identifying ideal virtual assistant bots for providing response to user queries
    Patent number: 11909698
    Abstract: A method and bot assistance system (101) for identifying ideal virtual assistant bots for providing response to user queries is disclosed. The bot assistance system receives user query. The user query is processed to identify context and intent using Natural Language Processing (NLP). The bot assistance system identifies at least one virtual assistant bot for responding to user query based on confidence score of each virtual assistant bot associated with intent of user query, using pretrained model. The identification of at least one virtual assistant bot includes either determining ideal virtual assistant bot based on context of user query, using predefined governance rules. Otherwise, initiating polling between plurality of predefined virtual assistant bots when context of user query is unidentified. The plurality of predefined virtual assistance bots is provided to user associated with user query if each of predefined virtual assistance bots are selected during polling.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: February 20, 2024
    Assignee: BITONIC TECHNOLOGY LABS, INC.
    Inventors: Jaya Kishore Reddy Gollareddy, Raghavendra Kumar Ravinutala, Rashid Ahmad Khan, Biddwan Ahmed, Surender Selvaraj
  • METHOD AND SYSTEM FOR IDENTIFYING IDEAL VIRTUAL ASSITANT BOTS FOR PROVIDING RESPONSE TO USER QUERIES
    Publication number: 20230353512
    Abstract: A method and bot assistance system (101) for identifying ideal virtual assistant bots for providing response to user queries is disclosed. The bot assistance system receives user query. The user query is processed to identify context and intent using Natural Language Processing (NLP). The bot assistance system identifies at least one virtual assistant bot for responding to user query based on confidence score of each virtual assistant bot associated with intent of user query, using pretrained model. The identification of at least one virtual assistant bot includes either determining ideal virtual assistant bot based on context of user query, using predefined governance rules. Otherwise, initiating polling between plurality of predefined virtual assistant bots when context of user query is unidentified. The plurality of predefined virtual assistance bots is provided to user associated with user query if each of predefined virtual assistance bots are selected during polling.
    Type: Application
    Filed: January 15, 2021
    Publication date: November 2, 2023
    Inventors: Jaya Kishore Reddy GOLLAREDDY, Raghavendra Kumar RAVINUTALA, Rashid Ahmad KHAN, Biddwan AHMED, Surender SELVARAJ