IoT Enabled Virtual Home Assistant Using Raspberry Pi

• Published in: Distributed Computing and Optimization Techniques Vol. 903; pp. 559 - 570
• Main Authors: Islam, Md. Tarequl, Azad, Md. Selim, Ahammed, Md. Sobuj, Rahman, Md. Wahidur, Azad, Mir Mohammad, Nasir, Mostofa Kamal
• Format: Book Chapter
• Language: English
• Published: Singapore Springer 2022; Springer Nature Singapore
• Series: Lecture Notes in Electrical Engineering
• Subjects: Internet of Things; Machine learning; Smart home; Virtual assistant; Voice recognition
• ISBN: 9811922802; 9789811922800
• ISSN: 1876-1100; 1876-1119
• DOI: 10.1007/978-981-19-2281-7_52

This manuscript represents a virtual assistant developed with modern computation named after “JERRY”. The proposed model is entirely based on the new Internet of things (IoT) mechanism and Natural Language Processing (NLP). Experimental data analysis on the virtual assistant is also enumerated and interpreted to find the proposed system’s feasibility. The accomplished experiments are the practicability testing of the virtual assistant, how the users will be able to interact with home automation in AC supply, a comparison on response time among existing solutions and System Usability Scale (SUS) to check the random user’s satisfaction level. Average response time of 1.93 is tracked out, which is more impressive than other available intelligent assistants in the global market. SUS score of 98% is also found. Though the proposed model has some limitations, a reliable smart assistant for regular activities and an interactive home automation system is developed. However, the proposed architecture can be adjustable in the regular activities of the general users.