FarmCompanion: AI-Based Farmer Query Support & Advisory System Coordinator

Agricultural decisions are required to be made timely for the improvement of crop productivity. However, the absence of timely expert guidance for farmers is due to the unavailability of the same in the language they understand and the lack of accessibility. This paper suggests an AI-based Farmer Query and Advisory Support System using the combination of conversational AI, speech processing, and data services. The system uses the Whisper API for speech-to-text conversion and transformer-based large language models for generating intelligent responses. It also uses external APIs for providing weather updates and other information. The proposed system is dynamic and uses real-time data for the execution of the task. The system does not use the traditional dataset-based machine learning approach. A web interface has been developed for the proposed system using the Flask framework. The chatbot has been included in the system for providing guidance to the farmers.