AI-Powered Automatic Smart Contract Auditing
Leveraging AI-Based Code Scanning for the Analysis of Vulnerable and Poorly Implemented Blockchain Smart Contracts — Aug 2025 to Present
Project Abstract
Although blockchain technology has received less hype in recent years, it has become a crucial backend protocol for many critical systems. Most blockchain implementations are still built using Solidity-based smart contracts, with ERC and NFT tokens being two of the most common standards. However, ensuring that implemented smart contracts fully comply with established standards and best practices remains a significant challenge. In this project, we aim to develop an AI-powered auditing platform that leverages large language models (LLMs) to automatically analyze and audit smart contracts against recognized standards and recommendations.
Project information
- Category Graduate Research Project
- Project date 12 Aug 2025 - Present
- Project Status Ongoing
- Team Member Kittimook Phiromswat, Gong
- Project Advisor Dr. Charnon Pattiyanon