Harmful Animal Identification and Detection in Forests Using AI & ML

The increasing human-wildlife conflict in forested areas necessitates the development of advanced systems for early identification and detection of harmful animals. This project, titled "Harmful Animal Identification and Detection in Forests Using AI/ML," aims to leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies to create an automated system capable of detecting dangerous animals in real-time from image and video data captured by drones or camera traps. Using deep learning models such as Convolutional Neural Networks (CNNs), the system will accurately classify animal species and identify those that pose potential risks to human life, livestock, or the ecosystem.