*Result*: AWS solution for real-time carbon emission calculation.

*Estimation of carbon emission and its environmental impact have been around for a long time in climate science. Existing methods through some satellite data and industry reports are by no means scalable and are liable to delay in the response. These approaches often depend on regional emission inventories that are published annually, leading to gaps in data availability and limiting timely interventions[1]. This paper proposes an advanced architecture with the use of AWS Cloud to automatically estimate carbon emissions, while using real-time data, machine learning, and IoT sensors. The variety of AWS services will offer scalability and automation for accuracy in the calculation of carbon in the atmosphere and purifying capacity in forests. This solution counters the inefficiencies of current methods and allows a more holistic and actionable approach in managing carbon emissions. [ABSTRACT FROM AUTHOR]*