Wildlife and wildlife authorities face the problem of animal migration from woodland to residential areas in the present environment. Natural calamities triggered by nature, wind and dry undergrowth will destroy acres of land and consume everything in their way that causes significant harm to both natural and human capital. The proposed system to design an IoT-based system that will be able to detect the fire as soon as possible before the fire spreads over the wide area and prevent poaching. Raspberry interfacing with a temperature sensor, a smoke sensor, webcam and a buzzer. GSM gateway is used to conduct this project to provide the user with the final SMS via given number in simulation program. The temperature sensor used to indicate high and low temperatures, the PIR sensor designed to track human activity on the LCD display, the flame sensor used to signify the intensity of flames and the forest fire observed on the LCD display. Once large, image processing is used to determine the accuracy of the fire rate. Wireless Sensor Network (WSN) for data processing to be used as input data in our control system. WSN comprising of temperature sensor system and GPS module to sense forest fire by measuring the level and sending its position to the server utilizing GSM communication contact and GPS functionality. Raspberry Pi cluster, a complicated computation is broken into multiple parts using MPI, and each component runs on separate raspberry pi device. Such sections will be analysed in sequence and then MPI must merge the output and turn it over to the user, essentially they operate as individual units (but in tandem and together) to produce very quick results.