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!
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Descripción
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.