Conference Paper2025

Blockchain-Enabled Voluntary Carbon Credit Marketplace for Bangladesh: A Decentralized Solution to Climate Accountability

Mohammad Aftab Mahmud, Md Ridwan Mahmud, Md Zakir Hossan, Asif Mahmud, Ashraful Islam, M Ashraful Amin

2025 IEEE 23rd Student Conference on Research and Development (SCOReD)

IEEE, pp. 1-6

  • Climate Action — Relevance: 72%
DOI: 10.1109/scored68498.2025.11399054URL

Abstract

Bangladesh is one of the nations highly vulnerable to climate impacts. It lacks a structured and transparent voluntary carbon market to support the country’s sustainability goals. This paper presents a decentralized blockchain platform designed to enable carbon credit issuance, verification, and trading in accordance with Bangladesh’s pledge to reduce carbon emissions. Using Ethereum smart contracts and MetaMask wallet integration, the system ensures secure and transparent transactions. A Minimum Viable Product (MVP) prototype was developed and tested, demonstrating operations including land registration, carbon credit calculation, and peer-to-peer trading of tokenized credits. The platform features a Next.js frontend, Solidity-based smart contracts, and a registry module to ensure traceable credit ownership. The system combats common challenges in traditional carbon markets, including opacity and fraud risk. Functional evaluations showed reliable performance across use cases, with low gas costs and positive user experience during wallet-based interactions. This work provides a solution for climate finance infrastructure in developing nations. It lays the foundation for regulatory integration, decentralized data storage via InterPlanetary File System (IPFS), and future collaboration with global carbon exchanges.

Keywords

  • Ethereum smart contracts
  • carbon credits
  • Blockchain
  • climate finance
  • IPFS
  • carbon credit verification
  • voluntary carbon markets
  • land registration
  • climate accountability
  • Bangladesh

CCDS Authors

Md. Zakir Hossan
Md. Zakir Hossan

Md. Zakir Hossan

  • Research Manager, CCDS

Research Interests

Machine Learning, Computational Neuroscience, Mathematical Physics

Asif Mahmud
Asif Mahmud

Asif Mahmud

  • Co-Director, IPT Wing

Lecturer

Department of Computer Science and Engineering

Independent University, Bangladesh

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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