As air pollution continues to pose significant health and environmental challenges in India, the effectiveness of pollution control regulations has become a focal point for policymakers and researchers. Therefore, this study presents Clean Air Insights to assess the impacts of air pollution control regulations in various regions of India. The proposed framework uses advanced analytical techniques using a large dataset that combines historical air quality measurements, regulatory timelines, and socioeconomic indicators to evaluate the effectiveness of implemented policies. This study analyzes the relationships between regulatory interventions and changes in air quality using the designed Average Treatment Effect metric. The prediction accuracy is computed using the designed custom accuracy metric. Experimental results reveal significant correlations between stringent pollution control measures and air quality improvements, highlighting the effectiveness of specific regulations in mitigating emissions approximately 60% from Bayesian LSTM model. Additionally, this analysis uncovers regional disparities in response to these regulations, providing valuable information for targeted policy adjustments.