Smart Air Quality Forecasting and Health Advisory using Machine Learning and IOT

Abstract

Due to rapid urbanization and industrialization, air pollution has recently emerged as a significant environmental and health concern globally. Bad air contributes enormously to respiratory, cardiovascular, and other chronic diseases. In this paper, we introduce a smart machine learning application system for Air Quality Index (AQI) forecast and individual health advices. With an historical AQI database and meteorological parameters, the system can forecast air quality for around the clock in a range of cities. It also comes with custom health risk scores, lifestyle advice, and emergency alerts, reducing exposure-related complications. Geo-fencing alerts, multi-city AQI visualization, and AI-based health advisory are some of the features included to make it complete and adaptive. With the help of predictive models, geospatial data, and intelligent advisory systems, this tool interfaces environmental monitoring with preventive healthcare.