Decentralized Blockchain Ecosystem for Artisan Authentication and Carbon Footprint Reduction
- DOI
- 10.2991/978-94-6239-654-8_48How to use a DOI?
- Keywords
- AI; Blockchain; NFT; Carbon Footprint; Web3; Sustainability; Artisan Products; E-commerce; Decentralized Platform
- Abstract
Under-recognized artisans are continually confronted with the problem of certifying hand-made products and the shady aspect of their carbon footprint in both online and real-world markets. The following paper suggests a combined Web3 and AI-based ecosystem, which will empower the artisans by providing provenance, authenticity, and sustainability. NFTs and smart contracts based on blockchain provide tamper-proof records when authenticating each product. At the same time, AI algorithms allow tracking carbon in real-time and streamline sustainable processes throughout the supply chain. This semi-closed system manages the lack of trust, which is considered in relation to the modern trends in eco-friendly business. Studies describe the architecture of the ecosystem and its experimental validation, which implies greater transparency, lower verification cost, and a greater level of trust of users in decentralized trade.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - M. Dharani Tharan AU - R. Kishore Kumaar AU - S. Ancy PY - 2026 DA - 2026/04/24 TI - Decentralized Blockchain Ecosystem for Artisan Authentication and Carbon Footprint Reduction BT - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025) PB - Atlantis Press SP - 596 EP - 612 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6239-654-8_48 DO - 10.2991/978-94-6239-654-8_48 ID - Tharan2026 ER -