Assessment agent

Problem Statement

Blockchain Transaction Risk Monitor and Personality based on Transaction HistoryA sophisticated blockchain transaction monitoring system that uses AI, machine learning, and The Graph protocol to detect scams, fraudulent patterns, and potential security risks.Features 🔍 Transaction Analysis Real-time transaction monitoring Multi-chain support (Ethereum, Polygon, BSC, etc.) DEX transaction tracking Historical transaction analysis 🛡️ Security Features AI-powered scam detection Pattern recognition for sophisticated attacks Risk level assessment Real-time security alerts 🤖 Machine Learning Capabilities Flash loan attack detection Front-running pattern recognition Sandwich attack identification Pump and dump scheme detection Rug pull early warning system 📊 Trading Profile Analysis Trading behavior patterns Risk profile assessment Transaction frequency analysis Preferred DEX tracking 🕸️ The Graph Protocol Integration (In Progress) Decentralized indexing of scam reports Pattern detection and storage Community-driven scam reporting Evidence submission and verification Reputation system for reporters Historical pattern analysisTech Stack Frontend: Next.js, React, TypeScript UI Components: shadcn/ui Blockchain Data: Covalent API The Graph Protocol Smart Contracts: Solidity AI/ML: OpenAI GPT-3.5 Authentication: Web3 Wallet Connect Styling: Tailwind CSS

Solution

This project uses Typescript, Next Js 14 with App router, Shad CN, Tailwind CSS, @covalenthq/ai-agent-sdk, @covalenthq/client-sdk, @rainbow-me/rainbowkit, hardhat, graphprotocol. Open AI GPT-3.5 for sophisticated pattern analysis and natural language insights.A lot of scams are getting sophisticated day by day so this project should help our community to analyse, detect and community report them.