GreenChain: Innovating Carbon Markets with AI and BlockChain for a Sustainable Future
摘要
This paper explores GreenChain, a novel platform that combines AI and BlockChain technologies to create an efficient, transparent, and secure platform for carbon credit trading. GreenChain employs logistic regression to analyze data from a public database to forecast future carbon footprint and recommend carbon reduction strategies. The platform tokenizes carbon credits using BlockChain and ensures transparent and immutable records. Smart contracts facilitate the automated issuance and trading of these credits. These credits can then be traded on any decentralized marketplace enabling global peer-to-peer trading, reducing intermediary costs, and enhancing accessibility. GreenChain combines AI and BlockChain to create a complete system for managing carbon emissions. This platform encourages people and organizations to reduce their carbon footprints and helps promote environmental sustainability. This paper explains the complete architecture of GreenChain and its potential effects, highlighting its unique way of tackling climate change. Aligned with global sustainability efforts, GreenChain supports the United Nations’ Sustainable Development Goal 13 (Climate Action) by promoting responsible carbon management.