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公开(公告)号:US20220300993A1
公开(公告)日:2022-09-22
申请号:US17698202
申请日:2022-03-18
Applicant: Jio Platforms Limited
Inventor: Arijay CHAUDHRY , Ravindra Singh CHHABRA , Sachin DEV , Abhishek FARKADE , Gaurav DUGGAL
Abstract: The present disclosure provides a system and method for generating automatic video frame responses without getting help from an expert/professional assistance as well as ability to customize responses for a set of survey queries. The system includes a processor that executes a set of executable instructions stored in a memory, upon execution of which, the processor causes the system to receive video frame responses that are mapped to each survey query of the set of survey queries. The set of survey queries may be any or a combination of open ended, ratings related, satisfaction related, choice related queries but not limited to these. The system may be configured to link the set of queries to the video frame responses that have been recorded and also facilitate the user to initiate the survey at his/her convenience and resume the survey if there may be a break in the survey.
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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.
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