System and method for providing personalized explainable response by generating multimedia prompt using contextual information

Abstract

This disclosure relates generally to system and method for providing personalized explainable response by generating personalized context-aware prompt using contextual information. Agriculture faces critical challenges such as adverse climate, pest/disease outbreak, soil, degradation and the like due to which personalized, contextual and explainable advisories are needed to achieve sustainable and optimal agricultural productivity. The method receives a multimedia user query to provide personalized explainable response using initial validation and a personalized context generation. Further, a personalized context aware prompt is generated to obtain response from a plurality of LLM's. Simultaneously, a contextually relevant user profile is composed to generate a personalized explainable response. Additionally, the method is capable of providing the personalized explainable response in multilingual and multimodal content. Further, feedback form enables the user to provide feedback which enables adaptive improvement and storing the context, personalized explainable response, and feedback in a blockchain platform and a prompt library.