Deep Learning-Based Multi-Chatbot Broker for Q&A Improvement of Video Tutoring Assistant

Chatbot is software for conversations where the opponent is a program instead of a human. Marketing, business, education, healthcare, and other fields are using chatbots for the convenience of users. The functionality of the chatbot is like a virtual assistant for users to help in purchasing and idea generations, resulting in better services and faster response. This paper presents the fundamental components and working principle of a multi-chatbot broker for video tutoring assistant for e-learning as an online video lecture assistant. The proposed broker implements a deep learning approach for a single video having multiple chatbots to select relative answers for a different perspective of each user, thereby improving the responsiveness of feedback and its quality. This means reducing the responding time of video tutoring assistant and increasing the quality of Q&A data by adding multiple chatbots from different viewpoints for a single video.