Climate Change Prediction Using Cloud Computing

Among the most critical and rapidly growing challenges related to climate change, one of its effects makes a significant impact on both ecosystems and human societies. The traditional approach to mitigation of climate change is traditionally related to computational scalability along with processing data in real-time; it usually constrains the system to respond efficiently and timely. In contrast, this research idea proposes using cloud computing technologies from the perspective of AWS Cloud services to handle these challenges by providing scalable and flexible computing resources. This project will focus on accuracy in climate prediction and effective mitigation strategies using advanced techniques of distributed computing and machine learning algorithms. The project will aggregate large-scale environmental data, deploy distributed computing systems using AWS cloud, and integrate machine learning algorithms to provide actionable insights and effective strategies to combat climate change.