This document describes a proposed system for the earlier detection of forest fires using Internet of Things (IoT) technology. The system uses sensors like a temperature sensor and flame sensor connected to an Arduino Nano microcontroller. When the temperature rises above a threshold or a flame is detected, the data is sent via a GSM module to a cloud server. This allows for fires to be detected sooner compared to existing manual monitoring methods. A literature review discusses several previous studies that used techniques like wireless sensor networks, image processing, and LoRa technology for forest fire detection and monitoring. The proposed system aims to provide faster and more accurate detection of fires to help reduce damage and inform firefighters.