Wildlife Protection & Antipoaching System

Abstract

The increasing threat of wildlife poaching and illegal activities in protected forest regions has become a major concern for biodiversity conservation and ecological sustainability. Traditional wildlife protection mechanisms often rely on manual patrolling, delayed reporting, and fragmented monitoring systems, which are insufficient to prevent organized poaching activities in large and remote forest areas. This paper presents the design and implementation of an AI-assisted Wildlife Protection and Anti-Poaching System aimed at improving real-time monitoring, threat detection, and response coordination in wildlife conservation environments. The proposed system integrates GPS-based animal tracking, real-time location monitoring, intelligent alert generation, and centralized dashboard visualization to support proactive wildlife protection. The system enables forest officials to monitor animal movement, track suspicious activities, visualize protected zones on live maps, and coordinate rapid response actions. A centralized dashboard provides real-time insights into animal locations, alerts, patrol status, and historical movement data.