Method and system for identifying ideal virtual assistant bots for providing response to user queries

A bot assistance system for identifying ideal virtual assistant bots for providing response to user queries, comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:
• receive a user query from a user device, wherein the user query is processed to identify a context and intent using Natural Language Processing (NLP);
• identify at least one virtual assistant bot from a plurality of virtual assistant bots associated with an entity for responding to the user query, based on a confidence score of each virtual assistant bot associated with the intent of the user query, using a pretrained model, wherein the identification of at least one virtual assistant bot comprises:
• determining an ideal virtual assistant bot based on the context of the user query, using predefined governance rules;
• or
• initiating a polling between a plurality of predefined virtual assistant bots of the plurality of virtual assistant bots, when the context of the user query is unidentified, wherein the plurality of predefined virtual assistance bots is provided to a user associated with the user query, if each of the plurality of predefined virtual assistance bots are selected during polling;
• and
• wherein the processor identifies the at least one virtual assistant bot by comparing the confidence score associated with the intent of each virtual assistant bot with a threshold confidence score, and wherein when the confidence score is below the threshold confidence score, the processor provides a list of responses closely matching to the user query using an unsupervised fallback model.