Abstract: The present disclosure provides a method and system to perform integration and monitoring of one or more intelligent conversational agents. The system creates an online chatbot marketplace to enable one or more vendors to upload the one or more intelligent conversational agents. The system integrates the one or more intelligent conversational agents to generate a mega bot in real-time. The system generates the mega bot based on integration of the one or more intelligent conversational agents. The system collects a first set of data. The system receives one or more queries from a plurality of users for the mega bot. The system selects a suitable intelligent conversational agent having a trust score above a threshold level based on a plurality of factors and the first set of data. The system creates a primary response for the one or more queries at the mega bot.

Abstract: The present disclosure provides a method and system to adopt user learnings across vernacular contexts. The system receives a first set of data associated with a plurality of users. The system collects a second set of data associated with the plurality of users. The system fetches a third set of data associated with one or more communication devices of the plurality of users. The system analyzes the first set of data, the second set of data, and the third set of data using one or more machine learning algorithms. The system enables segmentation of the plurality of users in one or more segments based on one or more patterns of a plurality of languages and a plurality of language attributes. The system triggers initialization of one or more personalized marketing campaigns for the one or more segments based on the plurality of languages and the plurality of language attributes.

Abstract: The present disclosure provides a method and system for enabling interaction between a user and a podcast using a podcast interaction system. The podcast interaction system receives a first set of data a first set of data associated with the podcast. The podcast interaction system collects a second set of data associated with a communication device of the user. The podcast interaction system fetches a third set of data associated with the user accessing the podcast through the communication device in real-time. The podcast interaction system analyses the first set of data, the second set of data and the third set of data. The podcast interaction system detects the one or more triggers for enabling the interaction between the user and the podcast. The podcast interaction system initializes the interaction between the user and the podcast. The podcast interaction system interactively responds to one or more queries of the user.

Abstract: The present disclosure provides a method and system to enable an interaction of a user with one or more advertisements within a podcast. The system receives a first set of data associated with the podcast. The system collects a second set of data associated with the one or more advertisements. The system fetches a third set of data associated a communication device of the user. The system gathers a fourth set of data associated the user accessing the podcast through the communication device. The system analyzes the first set of data, the second set of data, the third set of data, and the fourth set of data using one or more machine learning algorithms. The system identifies one or more triggers to enable the interaction of the user with the one or more advertisements. The system initializes the interaction between the user and the one or more advertisements in real-time.