Abstract: Markets for carbon credits are essential to international efforts to mitigate climate change. However, regional disparities, double-counting, and transparency problems plague traditional trading systems. In order to implement hard regional purchase caps and real-time fraud detection, this paper suggests a blockchain-based carbon credit trading platform that is integrated with AI analytics. To enforce geographic credit limits and prevent transactions that surpass regional thresholds, our system uses Ethereum smart contracts. AI models forecast market behaviour, identify anomalies, and track pricing trends. While a 3D interactive dashboard plots time, credit usage, and regions, IPFS and Zero-Knowledge Proofs (ZKP) guarantee secure data privacy. By improving trust, regulatory oversight, and fair trading, the platform benefits governments, traders, and environmental organisations. Automated blocking of users who try to cross area boundaries is validated by simulated use cases. IoT integration for real-time emission tracking is part of future work.
Keywords: Carbon Credit, Blockchain, Smart Contracts, AI Analytics, Zero-Knowledge Proofs, IPFS, Regional Caps, 3D Dashboard, Carbon Trading, Market Fraud Detection, Sustainability, ESG, Hyperledger, Ethereum, IoT Sensors, Environmental Policy.
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DOI:
10.17148/IJARCCE.2025.14571
