Agriculture is an important part of India’s economy. Farmers require quick access to information on crops, soil, fertilizers, irrigation, pests and diseases, weather and government schemes. However, language, limited information and connectivity, and lack of access to experts create problems for farmers in getting information in time. To solve these problems, this paper details the development of a multilingual AI-based agricultural chatbot with simple human-computer interaction. The chatbot is done in two languages, Hindi and Marathi apart from English to answer queries related to crops, soil, fertilizers, irrigation, pests and diseases, weather and government schemes. The implementation is done with the help of Python and Flask. SQLite is used as a database to store interaction history of users with the chatbot. Weather information is obtained through APIs and the dashboard gives detailed information on the number of chats at all times. In the study, the chatbot was tested by running agriculture-related queries in English, Hindi, and Marathi, which proved that the chatbot was capable of communicating with the users in all languages. To summarize, the work demonstrated a way of how to make agricultural information available to farmers by providing them with the ease of access to the information when.

Mamta Dayanand Kharatmol, Dr.Manoj Singh, "Development of a Multilingual AI-Based Agricultural Chatbot for Farmer Assistance" International Journal of Scientific Research and Engineering Development, V9(5): Page(1642-1652) September - October 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.