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Volume 4 Issue 3
May-June 2026
| Author(s) | Abhilash Deori |
|---|---|
| Country | United States |
| 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 |
| Discipline | Computer > AI / ML |
| Published In | Volume 3, Issue 6, November-December 2025 |
| Published On | 2025-11-16 |

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