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A chatbot is software that is programmed and designed to simulate conversation with human users through Artificial Intelligence. During this pandemic, where students are confined to their homes with limited guidance from teachers, this chatbot provides a human-like interface that can solve academic queries of students, thus encouraging students to learn in an interesting manner. This paper demonstrates and presents the design and development of Student Chatbot software integrated with a user website that handles students' queries through defined intents. The paper covers the chatbot system with Recurrent Neural Network (RNN) for dealing language part, Convolutional Neural Network (CNN) to deal with the image part, Dialogflow, illustrating with precision the intent and entity representation and keyword matching techniques used by introducing an artificial brain into “Web-Based Bot”. The aim to have a balanced user interface that is easy to access and customized to all target users. Also two Visual Question Answering chatbots ie visualdialog.cloudcv and CloudCV are compared to find which performs better. It was found that chatbot serves accurate for education. |
