Greenhouse gas emissions are a major driver of climate change, emphasizing the urgent need for effective mitigation strategies. Carbon credit exchanges offer a promising mechanism to reduce emissions, but their implementation faces significant challenges, including manual record-keeping, time consumption, the reliance on intermediaries and fraudulent reporting. This study explores the integration of blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) to address these issues. Through a comprehensive literature review, this paper proposes a data architecture where IoT-enabled carbon emission sensors collect real-time data, which is processed via IoT gateways and analyzed at edge nodes. The processed data is then securely stored on a blockchain to enable transparent and trustworthy carbon credit transactions. By combining these technologies, the proposed system ensures accurate emissions tracking, real-time monitoring, and secure transactions. This integrated approach not only enhances the efficiency and transparency of carbon credit exchanges but also provides a reliable framework for reducing greenhouse gas emissions, contributing to the global fight against climate change.