CropBot: A Chatbot for Agriculture Advancement

India is an agriculture-based country in that 82 percent of farmers are small scaled and less exposed to diverse knowledge. So, we developed chatbot which helps farmers in giving advises on what crop they have to grow according to the soil nutrients and environmental parameters. With the dataset ‘crop recommendation’ from Kaggle we created a chatbot with the help of machine learning and NLP to find which crop will be giving best yield according to the soil nutrients like nitrogen, potassium and phosphorous and environment factors like temperature, humidity, pH of soil and rainfall. With the help of NLP, we created a user-friendly chatbot which is developed to access and chat easily by a less knowledgeable person also. The chatbot is developed in such a way that the sentences are not needed to be well phrased and step by step our chatbot only will assist the user. Chatbot will give recommendation even the user doesn't have complete information with either soil nutrients or environment parameters the chatbot can give recommendations. This project aims to help farmers with accessible data driven solutions for crop's greater yield.