Patents by Inventor Manish AGNIHOTRI

Manish AGNIHOTRI 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).

  • Utilizing machine learning models to generate automated empathetic conversations
    Patent number: 11854540
    Abstract: A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: December 26, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Anutosh Maitra, Shubhashis Sengupta, Sowmya Rasipuram, Roshni Ramesh Ramnani, Junaid Hamid Bhat, Sakshi Jain, Manish Agnihotri, Dinesh Babu Jayagopi
  • UTILIZING MACHINE LEARNING MODELS TO GENERATE AUTOMATED EMPATHETIC CONVERSATIONS
    Publication number: 20220230632
    Abstract: A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.
    Type: Application
    Filed: April 5, 2021
    Publication date: July 21, 2022
    Inventors: Anutosh MAITRA, Shubhashis SENGUPTA, Sowmya RASIPURAM, Roshni Ramesh RAMNANI, Junaid HAMID BHAT, Sakshi JAIN, Manish AGNIHOTRI, Dinesh Babu JAYAGOPI