Issuing Event Ticket as NFT’s

Abstract

Introduction

The project introduces a blockchain-based ticketing platform that uses Non-Fungible Tokens (NFTs) to combat fraud, scalping, and transparency issues in traditional event ticketing. Built on the Polygon blockchain, it ensures that each ticket is unique, verifiable, and tamper-proof, enhancing trust and security for both organizers and attendees.

Key Features and Objectives

• NFT Ticketing: Each ticket is minted as an NFT with immutable ownership history.

• Smart Contracts: Manage ticket sales, dynamic pricing, royalty enforcement, and resales automatically.

• User Interface: A React.js front-end with MetaMask integration enables easy ticket management.

• Interoperability: Designed to scale across multiple blockchain networks.

• Fraud Prevention: Eliminates duplication and unauthorized resale through verifiable ownership.

Technical Methodology

• Blockchain: Polygon (Mumbai Testnet for testing; mainnet for deployment).

• Smart Contracts: Developed using Solidity.

• Front-End: React.js with MetaMask for wallet-based interactions.

• Back-End: Node.js and Express APIs.

• Storage: Ticket metadata stored using IPFS via Pinata for decentralization.

Results and Conclusion

• The system successfully demonstrated secure ticket issuance, transfer, and verification.

• Real-time testing showed effective seat selection, booking, and MetaMask-based blockchain confirmation.

• Smart contracts ensured royalty payments and resale control, proving the model's scalability and transparency.

Future Scope

1. Multi-Blockchain Support (Ethereum, Solana, BSC)

2. AI-Based Dynamic Pricing

3. Dedicated Secondary Marketplace

4. Mobile App Development (Android/iOS)

5. Offline Ticket Verification via Secure QR Codes

6. Eco-Friendly Blockchain Adoption (Proof-of-Stake)

Conclusion

This solution offers a modern, secure, and scalable alternative to traditional ticketing, with the potential to reshape how events manage and distribute tickets in the digital era.

Copyright

Copyright © 2025 Prof. Nagaveni B. Nimbal, Abhilash B R , Dhanush G P , Prakrit R Aritas , Sharmila K P, Prof. Sougandhika Narayan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.