AI-Enabled Atmospheric Quality Forecasting for Sustainable Urban Living

TITLE	AI-Enabled Atmospheric Quality Forecasting for Sustainable Urban Living
ABSTRACT	AI-Enabled Atmospheric High-quality forecasting for sustainable Urban Living emphasizes on forecasting the Index of AQI, or air quality using both artificial intelligence and data science approaches to enable effective environmental monitoring in urban environments. Growing pollution sources as well as fast urbanization have made maintaining decent quality of the air major challenge. Conventional monitoring techniques, which mainly report about the present condition of the air, can’t provide reliable future estimates. This study analyses historical air purity and meteorological data, like the humidity, temperature, and wind speed, utilizing techniques for machine learning to forecast future AQI levels. The expected results help evaluate whether the quality of the air is good or bad in advance. This method enables early warnings, raises public awareness, and assists government officials in planning pollution control measures. Overall, the proposed approach promotes sustainable urban life by promoting data-driven decision-making for environmental protection.
AUTHOR	Yashaswini V S, Dr. Puja Shashi PG Student, Dept. of MCA, City Engineering College, Bengaluru, India Professor & HOD, Dept. of MCA, City Engineering College, Bengaluru, India
VOLUME	12
DOI	DOI:10.15680/IJARETY.2025.1206030
PDF	30_AI-Enabled Atmospheric Quality Forecasting for Sustainable Urban Living.pdf
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