Agentic Oracle
Agentic Oracle powers smart contracts with AI-driven, decentralized EDU price feeds on EDU-CHAIN! Earn ERC-20 rewards, stake tokens, and access real-time data with ML-powered insights!
비디오
기술 스택
설명
This project integrates AI agents, and blockchain technology to provide accurate EDU price feeds on EDUCHAIN. Each node must register and submit price data, with a 5% tolerance mechanism ensuring accuracy and penalizing anomalies. Users must subscribe to access the feed, while nodes earn ERC-20 rewards for correct submissions.
📌 Features
AI Agents fetch price data from multiple sources.
Smart contract computes final price & penalizes inaccurate data.
ERC-20 rewards system for accurate data providers.
Monthly subscription model for users accessing price feeds.
ML-powered chatbot for staking, redeeming rewards, and price prediction.
User dashboard for node performance analysis and staking management.
🛠️ Tech Stack
Frontend
React.js -- User dashboard
Tailwind CSS -- Styling
Chatbot Integration -- ML-based structured queries
TypeScript -- Ensures type safety
Backend
Node.js -- Server logic
Express.js -- API handling
Blockchain
Solidity -- Smart contract development
EDUCHAIN -- L3 blockchain
ERC-20 -- Token standards
AI & ML
Python (PyTorch) -- AI model for price prediction
WebSockets & APIs -- Real-time data fetching
📖 Smart Contract Flow
Nodes register & stake tokens to participate.
AI Agents fetch EDU price and submit to the contract every 15 minutes.
The contract perform mathematical operations and validates against a 5% tolerance.
Accurate nodes receive ERC-20 rewards, while anomalous nodes are penalized.
Users can subscribe to access the price feed.