Pollution To Power: AI - Driven Air Purification and Energy Generation

Air pollution continues to be one of the world’s most pressing problems, causing serious environmental, health, and financial difficulties. Conventional methods often fail to simultaneously address renewable energy generation and air pollution mitigation. This study presents the Pollution to Power (P2P) system, a cutting-edge, artificial intelligence (AI) framework that combines sustainable energy generation and air purification. The P2P system uses rotor-driven mechanical energy conversion to produce electricity and CNT (Carbon Nanotubes) -based filtration technology to remove pollutants. Real-time monitoring, predictive analytics, and dynamic optimization are made possible by artificial intelligence (AI), which enables effective and flexible operation in the face of fluctuating environmental and energy demands. In order to optimize purification rates and energy distribution while identifying abnormalities for prompt maintenance, the system is outfitted with sophisticated sensors that track energy metrics, urban traffic patterns, and air quality. Even though the suggested methodology is theoretical, hypothetical evaluations indicate that it has a great deal of potential to recover energy and improve air quality, especially in urban and industrial settings. This study lays the groundwork for creating and implementing integrated solutions that connect renewable energy production with air quality control, opening the door for sustainable growth in smart cities. To confirm the system's viability and scalability, future research will involve simulation studies, prototype development, and field testing.