Abstract: Disasters, whether natural or man-made, have devastating effects on human lives, infrastructure, and the environment. Early prediction and effective prevention are paramount to mitigating their impact. This paper presents a novel approach to disaster prediction and prevention leveraging the Internet of Things (IoT) technology. The proposed system integrates various IoT sensors, including weather sensors, seismic sensors, and surrounding sensors, to collect real-time data from the disaster-prone areas. Machine learning algorithms are employed to analyze this data and predict potential disasters such as earthquakes, floods, hurricanes, and forest fires with high accuracy. Furthermore, the system utilizes actuators and automated control mechanisms to implement preventive measures in response to the predicted disasters. These preventive measures may include early warning alerts to the authorities and the affected population, activation of evacuation protocols, deployment of emergency resources, and adaptive infrastructure management. The effectiveness of the proposed system is validated through simulation studies and real-world deployment in disaster-prone regions. The results demonstrate significant improvements in disaster prediction accuracy and timely preventive actions, leading to reduced loss of life and property during disasters. The Disaster Prediction and Prevention System using IoT offers a comprehensive and proactive approach to disaster management, empowering communities and authorities to better prepare for and mitigate the impact of natural and man-made disasters. This project uses an MQ135 gas sensor, LM35 fire sensor LCD display, buzzer, GSM module and Arduino which is used as the brain of this project. A relay is used to cut off of the power supply in the leakage environment. The gas sensor of type MQ135 is used to detect the atmosphere gas which is an extra component, and noticed by the Arduino and an alerting message is send through the GSM to user.

Keywords: Internet of things, MQ135, LM35, Power cut-off, Arduino UNO, GSM module.

| DOI: 10.17148/IARJSET.2024.11612