Authors : T. Charith Kumar; U. Sandeep; T. Sushma Nagasri; P. Sai Kumar; K. Swathi

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/yckhettp

Scribd : https://tinyurl.com/mr2wt9bw

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG020

Abstract : The paper explores how AI-enabled utilizing data analytics and machine learning methodologies enables deeper insights into the intricate patterns and behaviors of climate dynamics by analysing amounts of various data, integrating information from various origins, like satellite imagery, and the sensory data is processed to reveal meaningful insights for better understanding and informed actions. These can inform any policy decisions and facilitate more targeted interventions to mitigate the impacts of the climate conditions. The work discussed here in this research provided sources focuses on leveraging artificial intelligence (AI) and machine learning (ML) to address climate change challenges. Studies emphasize AI-driven strategies for climate change adaptation and including predicting various changes in the environment, and changes in the weather patterns. The research highlights the importance of weather conditions, and change in the weather patterns, and in developing effective AI-powered climate change in the adaptation strategies. And accordingly, these studies shows how effectively different AI and ML models like LSTM, ANN, CNN in improving the climate predictions and understanding the weather. AI and ML technologies in enhancing the changes in the weather, mitigation.

Keywords : Climate Prediction, Weather Events, Climate Change, Weather Forecasting, Machine Learning techniques, Weather Patterns, AI-driven Strategies, Climate Data Analysis.

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