Smart business analytics system for carbon credit valuation, market forecasting, and secure blockchain enabled trading

Abstract

A machine-implemented integrated system (100) for carbon credit evaluation and trading comprises a distributed environmental sensing network (1), a data ingestion and validation module (2), a machine learning evaluation engine (3), a blockchain-based certification module (4), and a smart-contract-driven trading module (5). The module (2) preprocesses and authenticates sensor streams using cryptographic authentication (12) and anomaly detection. The engine (3) evaluates carbon credits, detects fraud and forecasts trends, optionally using remote sensing image data (6), industrial emission reports (7) and vegetation index data (8), and generates confidence scoring (15). Verified credits are certified by generating a unique cryptographic token, preferably a non-fungible carbon asset token (17), with lineage (18) and audit trails stored on a blockchain. The trading module (5) verifies validity from blockchain records before executing transactions, optionally with marketplace recommendations (25), volatility-based pricing (26), compliance validation (27) and adaptive security monitoring (28).