<ul><li>Rapid urbanization and increased vehicle usage have caused traffic congestion and air pollution in cities.</li><li>Collected and preprocessed traffic and air quality datasets to analyze the impact of traffic density on urban air pollution.</li><li>Gathered and cleaned real-world air quality and traffic-related datasets from monitoring stations for analysis.</li><li>Designed and implemented machine learning models (Linear Regression, Decision Tree, Random Forest) for AQI prediction.</li><li>Analyzed the impact of traffic density changes on PM2.5, PM10, NO₂, and CO levels.</li></ul>