AI-Powered Smart Contract Bug Finder

AI-Powered Smart Contract Bug Finder

Introduction

Smart contracts are the backbone of decentralized applications (DApps), enabling trustless transactions and automation in the Web3 ecosystem. However, security vulnerabilities in smart contracts can lead to severe financial losses, making auditing a crucial step before deployment.

Our AI-Powered Smart Contract Bug Finder leverages machine learning and static analysis techniques to detect potential vulnerabilities in Solidity smart contracts. By analyzing contract code for common security flaws—such as reentrancy, overflow/underflow, access control issues, and gas inefficiencies—our tool helps developers secure their contracts before deployment.

Key Features

✅ AI-Driven Bug Detection: Uses trained models to identify vulnerabilities.
✅ Static Code Analysis: Scans Solidity code for security loopholes.
✅ User-Friendly Interface: Web-based frontend for easy contract analysis.
✅ Detailed Reports: Provides insights and recommendations for fixing issues.
✅ Web3 Integration: Ensures compatibility with Ethereum and other EVM chains.

Tech Stack

• Frontend: React.js, Tailwind CSS

• Backend: Node.js, Express.js

• Blockchain: Solidity, Hardhat

• AI Analysis: OpenAI API, Machine Learning Models

• Database: MongoDB

Impact & Use Case

This project empowers Web3 developers, security researchers, and auditors by providing an automated, efficient, and intelligent way to detect vulnerabilities in smart contracts, reducing risks and enhancing blockchain security.