Jamura: A Conversational Smart Home Assistant Built on Telegram and Google Dialogflow

With an ever-increasing number of smart connected devices for various applications, there is a need for finding a new, smarter way of communicating with all the homogeneous and heterogeneous devices in a particular network. Conversational Bots, also known as Chatbots, are currently a popular solution in many applications, as they provide a user-friendly interface and more intuitive recommendations to user queries. In this work, the domain of home automation is considered from the area of the Internet of Things, and a Chatbot application built using technologies like Natural Language Processing, Machine Learning, and Service-Oriented Computing is designed as an intuitive user-interface for Smart home products. The aim of this paper is to build easy to implement and integrate DIY Smart Home Assistant using available technologies. The proposed Conversational Artificial Intelligence system can aid the user in smart decision making, predictive and preventive analytics, and showed promising results during experimental evaluation.