AI powered Conservation Transforming Habitat Management for a Sustainable Future

Abstract

Data science and artificial intelligence are revolutionizing habitat management and biodiversity conservation by providing creative answers for a sustainable future. This study examines the ways in which AI technologies—such as machine learning, predictive modeling, and real-time data processing—are improving our capacity to observe, forecast, and safeguard ecosystems. AI-driven technologies make it possible to thoroughly analyze vast and varied datasets, including species records and climatic data, which improves conservation tactics and facilitates better decision-making. AI aids in the creation of efficient management strategies and early environmental danger detection systems by combining several data sources and using sophisticated analytical techniques. Along with addressing important issues like data quality and ethical implications, the report also outlines potential future paths for using AI in conservation. The ongoing developments in data science and AI have great potential to solve new environmental issues and protect biodiversity for coming generations.