International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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An Intelligent NFT Marketplace Framework Integrating Blockchain Technology and Artificial Intelligence for Digital Asset Management

Authors: Abhilash Deori

DOI: https://doi.org/10.37082/IJIRMPS.v13.i6.232800

Short DOI: https://doi.org/g99zpj

Country: United States

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Abstract: The proliferation of Non-Fungible Tokens (NFTs) has revolutionized digital asset ownership and
trading, creating unprecedented opportunities for creators and collectors. However, existing NFT
marketplaces face significant challenges, including limited user discovery mechanisms, inadequate
recommendation systems, security vulnerabilities, and poor user experience design. This paper presents
a new way to run an NFT marketplace using Blockchain and Artificial Intelligence. The system keeps
everything secure by storing asset information on a distributed online ledger. With built-in AI, it helps
users find content they'll like by giving personalized suggestions. It also uses multiple authentication steps
to make sure the marketplace stays safe for everyone. The design uses decentralized storage through the
InterPlanetary File System (IPFS). It employs smart contract automation for transaction processing and
incorporates machine learning algorithms for fraud detection and user behavior analysis. We demonstrate
the effectiveness of our approach with implementation results that show improved user engagement,
reduced transaction costs, and better security compared to traditional NFT platforms. The system
achieves a 47% improvement in user retention and a 63% increase in successful transactions through
personalized recommendations. This research contributes to the growing field of blockchain-based digital
asset management and provides a scalable framework for next-generation NFT marketplaces.

Keywords: Non-Fungible Tokens, Blockchain Technology, Artificial Intelligence, Recommendation Systems, Smart Contracts, Digital Asset Management, Decentralized Applications, Machine Learning


Paper Id: 232800

Published On: 2025-11-11

Published In: Volume 13, Issue 6, November-December 2025

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