  The application of Deep Learning and Natural Language based ChatBots are
growing rapidly in recent years. They are used in many fields like customer
support, reservation system and as personal assistant. The Enterprises are
using such ChatBots to serve their customers in a better and efficient manner.
Even after such technological advancement, the expert advice does not reach the
farmers on timely manner. The farmers are still largely dependent on their
peers knowledge in solving the problems they face in their field. These
technologies have not been effectively used to give the required information to
farmers on timely manner. This project aims to implement a closed domain
ChatBot for the field of Agriculture Farmers Assistant. Farmers can have
conversation with the Chatbot and get the expert advice in their field. Farmers
Assistant is based on RASA Open Source Framework. The Chatbot identifies the
intent and entity from user utterances and retrieve the remedy from the
database and share it with the user. We tested the Bot with existing data and
it showed promising results.

Computation and Language;Artificial Intelligence