CropCare Companion: An AI-Based Multilingual Chatbot for Agricultural Assistance

Agriculture remains a vital pillar of economic development in India, yet technological support to farmers is often limited due to language barriers, lack of awareness, and digital illiteracy. This paper presents "CropCare Companion," an intelligent, multilingual chatbot system designed to assist farmers with real-time agricultural guidance using artificial intelligence (AI), natural language processing (NLP), and cloud-based APIs. The system supports major Indian languages (Hindi, Marathi, Gujarati, English), offers voice and text interfaces, tracks user history, and provides personalized farming solutions. It integrates a hybrid response model using both machine learning (Naive Bayes) and fallback to a large language model (LLM) API (DeepSeek) for unmatched query coverage. We evaluate the system’s performance through NLP accuracy, response relevance, multilingual support, and usability. The chatbot demonstrates over 91% accuracy across multilingual inputs and offers high accessibility, reliability, and scalability for rural deployments.