An Integrated AI Virtual Assistant Platform Featuring Smart Display and Automation Capabilities
DOI:
https://doi.org/10.64060/jestt.v3i1.5Keywords:
Internet of Things,, , Virtual Assistant, Advance Automation, Natural language processingAbstract
The arrival of Artificial Intelligence (AI) and the Internet of Things (IoT) has led to the development of programming-based environments for domestic and commercial applications of automation. This work is distributed into three sections: virtual assistant (VA), domestic robotics, and advanced user interface demonstration. A dissimilar public library is utilised for a virtual assistant and information to identify them, concluding the communication recognition procedure and then replying by viewing all the effects on the display screen. Domestic automation includes monitoring and changing applications. IoT-based methods were used to control the brightness of the bulb, and an IoT-based technique was used to control the speed of the DC fan. Finally, the output was displayed using a Graphical User Interface (GUI) constructed using the QT-designer tool and PyQT library. The primary value of this work is the ability to combine an AI-based virtual assistant, home automation, and a real-time graphical user interface into easy use system. Operator instructions are examined to deliver optimum solutions. The proposed scheme has better functional coverage, real-time visualisation, and better user interaction in comparison with the existing benchmark systems, which mostly concentrate on voice-based helpers and distributed IoT control systems. This scheme is recommended for use as an intellectual virtual assistant, which understands human speech and answers through created voices. This work is new because it is the first work where an AI virtual assistant, IoT based automatization, and real-time smart display are combined to make the interaction and constant situational awareness happen within one platform.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Khurram Iqbal, Muniba Lodhi, Syed Saad Ali , Shujaat Ali, Liaquat Ali, Syed Iqbal Hussain (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.






