An Expert System Development For Education Using Machine Learning

Abstract

Our work is developing a Chatbot using recurrent attention model focuses on developing a model which will be able to generate responses automatically to the questions asked using a number of different machine learning techniques. Expert system development is assisting forstudents as a guideline, being informed of what is happening now in a university, library and its resources information, frequently asked questions for newcomers to know specific information like admission procedure, requirements, address of the faculty members office and so on. Any questions related to a university might provide through chatbot for educational purpose. Chatbot which is a computer program, conversation with human beings by using AI in messaging platforms or in a website. It has own management way of ability setting up discussions include a description of making things convenient how natural language processing executes on it. Natural Language Processing (NLP) is an area of research and application that explores how computers understand and manipulate natural language text or speech in order to achieve meaningful results. Through natural language processing, researchers aim to gather knowledge on how people understand, process and make use of language. This is done in such a way that appropriate tools and techniques can be developed to prepare computer systems understand and manipulate natural languages to perform desired tasks. Chatbots, following set of rules and Machine learning, the process through which we conducted in here. The dataset that we had trained, have three main components which are story, questions, and answer. Training data regarding an educational institution on which newcomers along with currently enrolled students may get their required query about what they are asking through the chatbot. Saving time by solving query of desired people’s frequently asked questions in one place is sole purpose of this chatbot