The rapid advancement of Artificial Intelligence (AI) has created new opportunities to transform traditional agricultural practices into more efficient, data-driven systems. Agriculture remains the backbone of many developing economies, yet farmers often face challenges such as limited access to timely information, unpredictable weather conditions, pest infestations, and fluctuating market prices. This research paper proposes the development of a Smart Farmer AI Chatbot designed to assist farmers by providing real- time, accurate, and personalized agricultural guidance. The chatbot leverages Natural Language Processing (NLP), Machine Learning (ML), and domain-specific agricultural datasets to interact with farmers in a simple and user-friendly manner. The primary objective of the Smart Farmer AI Chatbot is to bridge the information gap between agricultural experts and farmers, especially in rural and remote areas where access to expert advice is limited. The system is designed to understand user queries related to crop selection, soil health, irrigation practices, pest control, fertilizer usage, and weather forecasts. By integrating AI models with agricultural databases and APIs, the chatbot can deliver context-aware responses based on geographical location, seasonal variations, and crop requirements. Additionally, chatbot supports multilingual communication, making it accessible to a wider range of users with different linguistic backgrounds. This research adopts a system design approach, where the chatbot architecture includes a user interface, a backend processing unit, and a knowledge base. The NLP component enables the chatbot to interpret user queries, while the ML algorithms improve response accuracy over time through continuous learning. The system also incorporates external data sources such as weather forecasting services and market price databases to enhance decision-making capabilities for farmers. A prototype model is developed and evaluated based on parameters such as response accuracy, usability, and user satisfaction. The results indicate that the Smart Farmer AI Chatbot significantly improves access to agricultural knowledge, reduces dependency on intermediaries, and supports informed decision-making among farmers. It demonstrates potential in increasing crop productivity, reducing costs, and minimizing risks associated with farming