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