Image Classification for Visual Recommendation Using Deep Learning

BAS Wild animal detection plays a crucial role in wildlife monitoring, human-wildlife conflict mitigation, and biodiversity conservation. This project proposes a Convolutional Neural Network (CNN)-based system for real-time wild animal detection using input video and live camera feeds. By leveraging CNN's ability to detect and classify images, the system can identify wild animals in videos and live streams, facilitating early warnings and interventions. The system enhances traditional wildlife monitoring methods by automating detection and reducing human intervention. Our proposed system is evaluated on various datasets, showing improved accuracy and real-time detection capabilities compared to existing methods.