• RANA AFREEN SHAIKH
• SOHAIL KHAN SAMAD KHAN
• SHREYA NARENDRA GOLHAR
• MUNAZZA NASIM

Climate change poses an existential threat to ecosystems, economies, and communities worldwide. Artificial Intelligence (AI) has emerged as a powerful tool in predicting climate changes and monitoring environmental conditions in real-time. This research explores the application of AI-driven predictive models to forecast climate patterns, alongside the use of AI-powered tools for environmental monitoring. By utilizing advanced machine learning techniques and datasets from remote sensors and satellite imagery, we demonstrate how AI can improve the accuracy of climate predictions and monitor deforestation, air quality, and other ecological parameters. The results indicate that AI can significantly enhance environmental decision-making, offering timely insights for mitigating the impacts of climate change.

Artificial Intelligence, Climate Change, Predictive Models, Environmental Monitoring, Machine Learning, Remote Sensing

"AI FOR CLIMATE CHANGE: ENHANCING PREDICTIVE MODELS FOR CLIMATE PATTERNS AND AI-DRIVEN ENVIRONMENTAL MONITORING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.e517-e520, October-2024, Available :http://www.jetir.org/papers/JETIR2410455.pdf

"AI FOR CLIMATE CHANGE: ENHANCING PREDICTIVE MODELS FOR CLIMATE PATTERNS AND AI-DRIVEN ENVIRONMENTAL MONITORING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppe517-e520, October-2024, Available at : http://www.jetir.org/papers/JETIR2410455.pdf