Zero-Ambiguity Donation Channels via NFT-Encoded Auction Provenance in Distributed Benevolence Ledgers

Abstract

The evolution of blockchain technology has introduced innovative approaches for managing digital assets and transforming fundraising models through Non-Fungible Tokens (NFTs). However, many existing charity platforms continue to operate on centralized systems that restrict transparency, limit accountability, and fail to provide donors with verifiable proof of their contributions. In such systems, donors often have minimal visibility into fund utilization, and there is no direct linkage between their contributions and any traceable digital asset. Moreover, traditional charity and auction mechanisms rely heavily on intermediaries for transaction validation, data management, and operational control, making them susceptible to data manipulation, reduced auditability, and diminished user trust, while also lacking mechanisms to encourage active participation. To address these limitations, this research proposes a decentralized charity auction framework that integrates Blockchain technology with NFTs to ensure secure, transparent, and verifiable transactions. The system is developed using the Django Web Framework and leverages Web3 Technology along with Smart Contracts to automate and manage auction processes. Each auction item is uniquely tokenized as an NFT, guaranteeing authenticity and non-replicability. Users can register as donors or auction organizers, create NFTbased auctions, and participate through bidding or direct contributions. All transactions are permanently recorded on the blockchain, and NFT ownership is automatically transferred to the highest bidder or contributor, serving as a verifiable digital proof of participation. By removing intermediaries and ensuring immutable record-keeping, the system enhances trust, strengthens security, and introduces an incentive-driven participation model, thereby improving transparency, accountability, and efficiency in modern charity and fundraising ecosystems.