Authors : Dr. R. Elavarasan; Abishek B.; Anto Amala Jerin W.

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/y6xja97n

Scribd : https://tinyurl.com/3bef85pt

DOI : https://doi.org/10.5281/zenodo.14576735

Abstract : Integrating IoT and AI has transformed household safety applications, bringing complexity to the design of user interface and experience, which presents a challenge in its own right. This paper develops a Smart LPG Trolley (SLT) framework that uses IoT and AI to enhance safety and usability in household LPG management. The objective encompasses real- time monitoring, automated shutdown mechanisms, and remote user interaction through AI-driven processes. Key technologies include machine learning and responsive mobile app interfaces developed on the MERN-Stack. The case study results from the development of SLT have shown improved safety, user engagement, and efficiency, which further supports the broader applications of AI- driven design in IoT solutions. IoT, AI, Smart LPG Trolley, Real-time Monitoring, User-Centred Design, Gas leak detection, MERN-stack, Automated Shut-off, Human-centered design, Interaction design, Weight monitoring, Safety enhancement, Mobile application integration, Smart home system.

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