The purpose of this paper is to develop an automated system which gives a reply to a user query on behalf of a human for the education system. It can give an answer to each and every query asked by the end user. Existing chatbots such as facebook chatbot, WeChat, Natasha from Hike, Operator, etc. were giving reply from its local database. But our approach is to focus on the local database as well as web database and also to make system scalable, user-friendly, highly interactive. Various techniques such as machine learning, NLP, pattern matching, data processing algorithms are used in this paper to enhance the performance of the system.