公开(公告)号：US20230359670A1

公开(公告)日：2023-11-09

申请号：US18028551

申请日：2022-08-31

Applicant: JIO PLATFORMS LIMITED

Inventor： Arijay CHAUDHRY ,  Ravindra Singh CHHABRA ,  Abhishek FARKADE ,  Gaurav DUGGAL

IPC: G06F16/9032 ,  G06F40/30

CPC classification number: G06F16/90332 ,  G06F40/30

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for automatic switching between visual responses, audio responses and textual responses in an omni-channel single view experience. Particularly, the system and method may empower a user to choose between any mode of interaction, the modes being provision of a visual interaction, audio interaction or a textual based interaction and a combination thereof based on a machine learning architecture and also provide seamless human agent handover. Thus, the system and method of the present disclosure may be beneficial for both entities and users.

公开(公告)号：US20230267012A1

公开(公告)日：2023-08-24

申请号：US18171689

申请日：2023-02-21

Applicant: Jio Platforms Limited

Inventor： Gaurav DUGGAL ,  Abhishek FARKADE ,  Sapna THAKKAR ,  Omkar CHAVAN ,  Sanjay PRAJAPATH ,  Swapnil MASUREKAR ,  K Mohammed ASIF

IPC: G06F9/50 ,  G06N20/00

CPC classification number: G06F9/5055 ,  G06N20/00

Abstract: The present disclosure provides a system and method for utilizing an application programming interface (API) for handling multiple requests/models from various users. The API uses a machine learning (ML) model for processing the various requests and producing a plurality of trained models. The system is resilient to a race condition and incorporates an optimized random access memory (RAM) usage. Further, the system efficiently manages the limited available resources by loading and unloading the machine learning models based on their usage, thus maximizing the throughput of the API.

公开(公告)号：US20230237778A1

公开(公告)日：2023-07-27

申请号：US18159104

申请日：2023-01-25

Applicant: Jio Platforms Limited

Inventor： Nikhil Kumar SINGH ,  Bhupendra SINHA ,  Gaurav DUGGAL ,  Gaurav MATHURIA ,  Sameer MEHTA

IPC: G06V10/774 ,  G06T7/33 ,  G06V10/56 ,  G06V40/16 ,  G06V10/82 ,  G06V10/94

CPC classification number: G06V10/774 ,  G06T7/344 ,  G06V10/56 ,  G06V40/172 ,  G06V40/171 ,  G06V10/82 ,  G06V10/95

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for swapping one or more faces without any explicit training on the one or more faces. The proposed method can be further implemented in real time.

公开(公告)号：US20220321549A1

公开(公告)日：2022-10-06

申请号：US17710332

申请日：2022-03-31

Applicant: Jio Platforms Limited

Inventor： Tatikonda Yashwanth REDDY ,  Bhisham Pratap SINGH ,  Gaurav DUGGAL ,  Sameer MEHTA ,  Manoj Kumar GARG

IPC: H04L9/40 ,  H04L65/65 ,  H04L67/568

Abstract: Present disclosure relates to system and method for converting RTMP stream into HLS format for live stream. The solution architecture can include three main components: a Publisher (106), a Streamer (108) and an API server (112). The publisher (106) manages incoming RTMP streams and converts RTMP stream into multiple (resolutions) HLS streams with an adaptive bit rate. The streamer (108) manages end users consuming HLS feed. As publisher (106) can be busy doing transcoding, the streamer (108) can serve HLS format to an end user. At streamer level, caching is done instead of sending all requests to publisher. The API server (112) manages load on the publishers and the streamers, and makes sure that the servers are available all the time. Live stream API server keeps record of the streams which are available as well as the corresponding publishers having the streams.

公开(公告)号：US20220318679A1

公开(公告)日：2022-10-06

申请号：US17710385

申请日：2022-03-31

Applicant: Jio Platforms Limited

Inventor： Dhaval JETHWA ,  Shreyas RAMANATHAN ,  Abhishek FARKADE ,  Sachin DEV ,  Arijay CHAUDHRY ,  Gaurav DUGGAL

IPC: G06N20/00

Abstract: The present disclosure relates to a system and method for generating an executable multi-faceted specific to an entity. In an exemplary implementation, the proposed system receives a knowledgebase comprising a set of potential queries associated with the entity, and receives responses that can be switched to a video form, an audio form or a textual form corresponding to the potential queries based on any or a combination of user preference, network conditions and user device features. The system processes, through a machine learning model, training data comprising the set of potential queries, the video frame responses, and the intent mapped to each potential query to generate a trained model, based on which a prediction engine is configured to process an end-user query and predict an intent associated with the end-user query, and facilitate response to the end-user query based on video frame response that is mapped with the predicted intent.

公开(公告)号：US20220207066A1

公开(公告)日：2022-06-30

申请号：US17646448

申请日：2021-12-29

Applicant: JIO PLATFORMS LIMITED

Inventor： Gaurav GANGWAR ,  Pankaj SHINDE ,  Jagdish KUDVA ,  Supreem MISHRA ,  Abhishek FARKADE ,  Gaurav DUGGAL

IPC: G06F16/332 ,  G06F40/30 ,  G06N3/04 ,  G06F16/33 ,  G06N5/02 ,  G06N20/20

Abstract: The present disclosure relates to a system and method for generating an executable bot application specific to an entity. In an exemplary implementation, the proposed system receives a knowledgebase comprising a set of potential queries associated with the entity, and receives video frame responses corresponding to the potential queries, wherein each potential query is mapped to an intent. The system processes, through a machine learning model, training data comprising the set of potential queries, the video frame responses, and the intent mapped to each potential query to generate a trained model, based on which a prediction engine is configured to process an end-user query and predict an intent associated with the end-user query, and facilitate response to the end-user query based on video frame response that is mapped with the predicted intent. Using the prediction engine, the proposed system auto-generates executable bot application by the entity.