AN EPHEMERAL INVESTIGATION ON FOREST FIRE, WILDLIFE PRESERVATION, AND TRIBAL PREPAREDNESS USING DEEP LEARNING AND IOT

Forest fire is a serious threat to the environment and wildlife. It can also harm the tribal community as well as the people living in close vicinity to forest areas. Early detection and mitigation are crucial to avoid their destructive impact. By using the cameras used to track movement of wildlife we can capture real- time images and videos of the forest area. The data collected by these cameras is transmitted to a control center via wireless communication, where a deep learning algorithm is used for analysis. These algorithms can accurately identify smoke, flames, and fire within the image.

Once the fire threat is detected, the system automatically triggers immediate responses, which includes alerting authorities and deploying firefighting measures. Preventive measures such as sprinkler systems could be used to mitigate the spread of the fire. The real-time monitoring of forest allows early detection and rapid response to outbreaks. This approach not only protects forests and the ecosystems but also alerts the wildlife and tribal community by sound waves of high frequency for resettlement of animals and voice signals for tribal community.