Abstract

The rising threat of forest fires demands efficient and timely detection and prevention systems. This project presentsasolutionleveragingtheNodeMCU, an open-source IoT platform, to create a forest fire detection and prevention system. The proposed system integrates various sensors to monitor environmental factors such as temperature, humidity, and smoke levels inforestedareas.NodeMCUmicrocontrollersgatherdata from these sensors and transmit it wirelessly using IoT protocols to a centralized platform. The data collected is analysedinRealtimetodetectabnormalchangesthatmay indicate the onset of a fire. Additionally, this system employs machine learning algorithms for predictive analysis, aiming to forecast potential fire outbreaks based on historical data patterns. Upon fire detection, thesystem triggers alerts to designated authorities, enabling swift response measures to contain and prevent fire spread. The project aims to provide ascalable, and productive arrangement for forest fire detectionand prevention, leveraging the capabilities of IoT and NodeMCU technology to safeguard vast forested regions.