Project3 - AI-Powered Data Fabric

A decentralized platform for collaborative AI model training with blockchain-verified data provenance and differential privacy compliance.

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Architecture Overview

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Differential Privacy

Mathematical guarantees on data anonymity using Laplace mechanism and secure multiparty computation.

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Federated Learning

Distributed model training across nodes while maintaining data privacy and compliance.

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Data Provenance

Immutable blockchain records for data source attribution and compliance tracking.

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Global Network

Incentivized GPU resource sharing for decentralized model training and validation.

System Integration Diagram

Project3 Architecture Diagram

Interactive Demo

Submit a query about AI regulations and see how our system responds in real-time.

Integration Sample


import { AIDataAgent } from '@emre/project3-sdk'

const agent = new AIDataAgent();

// Train model with differential privacy
await agent.trainModel({
  datasetURI: 'ipfs://bafyreibx3433j222zqejf5v6w333a65q5364355j2l5v2xq624g5z44x6y',
  privacyFramework: 'GDpr',
  maxInferenceTime: 12000
});

// Query the network for results
const regulationInsights = await agent.query('What are best practices for AI in sensitive data processing?');
console.log('Analysis:', regulationInsights);

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