AI BASED CARBON CREDIT AUTHENTICATION, FOOTPRINT CALCULATION AND TRANSACTION VERIFICATION SYSTEM

The increasing need for transparent and efficient carbon credit markets has led to the exploration of Artificial Intelligence (AI) to address fraud, double-counting, and inefficiency in traditional carbon credit trading systems.This paper proposes an AI-based carbon credit trading system that leverages machine learning and predictive analytics to provide a transparent, secure, and automated marketplace for buying and selling carbon credits.Through the use of AIdriven smart algorithms, the system automates the issuance, verification, and trading of carbon credits, reducing transaction costs and eliminating intermediaries.The system ensures that each carbon credit represents a verified and actual reduction in emissions by employing AI-powered data validation and anomaly detection, offering real-time tracking and traceability.Furthermore, the advanced analytical capabilities of AI promote inclusivity, enabling a broader range of participants to engage in emission reduction efforts.This system not only fosters environmental accountability but also drives global sustainability by providing an accessible, cost-effective, and scalable solution to meet emission reduction targets and combat climate change.