DESIGN AND IMPLEMENTATION OF A VOICE-ENABLED IOT-BASED MULTI-HAZARD DETECTION AND AUTOMATED CONTROL SYSTEM WITH VOICE PROMPT

Abstract

The increasing demand for intelligent safety and automation has accelerated the adoption of the Internet of Things in smart environments. This paper presents the design and implementation of a voice-enabled IoT-based multi-hazard detection and automated control system with cloud integration. The system employs multiple sensors to monitor critical conditions, including gas leakage, fire, water intrusion, and unauthorized motion. An embedded microcontroller processes sensor data and triggers automated responses such as alarm activation, gas shut-off, load isolation, and water pumping.

A voice prompt module is integrated to provide real-time auditory alerts, enhancing situational awareness and enabling hands-free interaction during emergency scenarios. The system is further connected to the ThingSpeak cloud platform for real-time data transmission, visualization, and remote monitoring. Experimental evaluation demonstrates detection accuracy exceeding 90% and response latency below 3 seconds. The proposed system provides a unified framework that integrates multi-hazard detection, automation, voice interaction, and cloud connectivity, offering improved efficiency and usability over conventional IoT-based systems. It is suitable for deployment in smart homes and safety-critical applications.