Abstract

Wildlife conservation and habitat monitoring are essential for maintaining biodiversity and ecological balance. Traditional conservation methods face challenges such as limited manpower, inaccessible terrain, and the need for continuous surveillance. Artificial Intelligence (AI) has emerged as a transformative tool, enabling more efficient, scalable, and real-time approaches to wildlife protection. This paper explores the use of AI technologies such as computer vision, machine learning, and bioacoustic analysis in monitoring animal populations, detecting poaching activity, and assessing habitat health. A structured framework is proposed for integrating AI into conservation practices, highlighting benefits and future potential.