Climate change is a pressing issue that affects every corner of our planet, bringing about rising temperatures, unpredictable weather patterns, and a host of environmental challenges. In this research, we dive into the potential of artificial intelligence (AI) to help us understand and tackle these challenges head-on. By developing AI models that analyze vast amounts of climate data, we aim to predict the impacts of climate change and identify effective strategies for mitigation. My study begins with a thorough review of existing literature, highlighting the strides made in climate science and the role of AI, while also pinpointing gaps that still need to be addressed. I then outline a detailed methodology for my model development, which includes gathering data from reputable sources, preprocessing it for accuracy, and employing various machine learning techniques to generate predictions. The results of my research reveal significant insights into future climate scenarios, emphasizing the urgency of targeted interventions. For instance, my models suggest that without immediate action, global temperatures could rise alarmingly in the coming years. I also propose practical mitigation strategies based on my findings, offering a roadmap for policymakers and stakeholders to follow. Ultimately, this paper underscores the transformative potential of AI in the fight against climate change, providing a foundation for future research and action. By harnessing the power of technology, we can better understand our changing climate and work towards a more sustainable future for all. learn more on SSRN