jomarie04/Ethereum_Risk_AI

ETH-Risk-AI

Model Name

ETH-Risk-AI

Model Type

Classification / Predictive Model

Blockchain

Ethereum

Model Overview

ETH-Risk-AI is an AI model that analyzes on-chain Ethereum transaction data to identify the risk level of a wallet address or transaction. It is designed for fraud detection, scam prevention, and DeFi risk assessment.

Intended Use

• Wallet risk scoring
• Scam and fraud detection
• DeFi platform monitoring
• Educational and research purposes

Not Intended Use

• Legal decision making
• Financial or investment advice
• Automated fund blocking

Data Sources

• Public Ethereum blockchain data
• Historical transaction records
• Smart contract interaction patterns

Model Inputs

• Wallet address
• Transaction amount
• Gas usage behavior
• Transaction frequency
• Contract interaction history

Model Outputs

• Risk Score (0–100)
• Risk Category: Low Risk, Medium Risk, High Risk

Model Limitations

• Accuracy is not guaranteed for new wallets
• Dependent on historical data quality
• Possible false positives

Ethical Considerations

• No personal identity data is used
• Uses only public blockchain data
• Transparent and explainable scoring logic

Deployment Notes

• Can be integrated into dApps, dashboards, and analytics tools
• Optional real-time integration via Ethereum RPC nodes

License

MIT