Published Paper Details:

In recent years, wildlife conservation efforts have increasingly turned to technological solutions to mitigate threats to animal populations and their habitats. This project proposes an AI-based wildlife conservation system that integrates multiple sensor-based features for comprehensive monitoring and protection of animals in the wild. The system includes real-time animal health tracking through heartbeat and temperature sensors connected to an ESP-32 module, providing vital information on the well-being of monitored animals. An anti-poaching mechanism, utilizing an accelerometer, detects unusual movement patterns associated with poaching incidents, ensuring prompt alerts to forest officials. Additionally, a forest fire detection module uses camera-based image processing to identify potential fires, automatically activating a water pump system to mitigate the fire's spread. In the event of any detected incident, notifications are instantly sent to forest officials for rapid response. This AI-driven system aims to support wildlife conservation by offering a proactive, real-time solution to protect endangered animals and their habitats from both natural and human threats