Forest fires are one of the main causes of environmental degradation. More than a million species of animals have lost their lives in the 2019–2020 wildfire that spread in the Amazon forest. The model that we are proposing, intends to drastically reduce the number of lives lost in such unfortunate events and also alert the first response accelerating their momentum. Our idea is to have Wireless Sensor Networks (WSN) placed in a widely distributed manner across the forest area. Each module consists of a smoke sensor, temperature, humidity sensor, and a speaker which is connected to a Node-MCU. These modules collect data that is necessary for the prediction of wildfires.