International Research Journal of Education and Technology

This project proposes an innovative wildlife management system utilizing computer vision and machine learning for precise animal detection and ultrasound-based repelling. Integrated with edge computing, the system offers real-time responsiveness to mitigate crop raiding while minimizing environmental impact and addressing financial constraints. The solution aims to safeguard crops and public infrastructure by effectively deterring various wildlife species. Additionally, a user-friendly dashboard enables incident monitoring and alerts. This adaptable solution extends beyond agriculture to diverse settings, providing a balanced approach to wildlife protection. Keywords— Species-specific Repellent, Wildlife Management, Computer Vision, Temporal Convolutional Network (TCN), Interactive Dashboard.