Safeguard Wild: Anti-Poaching Monitoring System using ML & IoT

AbstractThe danger to wildlife due to illegal poaching activities has increased over the past few years, and there is a pressing need for creative solutions to safeguard threatened species. To address this, we propose an Anti-Poaching System Using IoT as an integrated model to track, identify, and deter illegal activities in forest and protected areas. By using networked IoT sensors, the system facilitates real-time identification of human activity, strange noises like gunshot and fire thread. It provides warning messages to forest departments in real time in the form of message ,live video feed and image ,facilitating quick action. This combined solution equips authorities with smart surveillance, automated threat identification, and instant reporting leveraging wildlife conservation efforts and reducing human-wildlife conflict through timely intervention. Our dream is to implement this in national parks and reserves.