Key Features
Crowdsourced Data Contribution:
Users upload anonymized data (e.g., health metrics, images) via a dApp, with privacy preserved through differential privacy or homomorphic encryption.
AI-Powered Intelligence: Federated learning trains models across decentralized nodes, keeping data private. AI generates curated datasets, predictive models, or insights (e.g., disease forecasts, market trends).
Attention Economy: Users earn $DCAI tokens based on attention scores, calculated by AI for data quality, validation effort, and community impact. Faction competition drives higher scores, with seasonal rewards for the winning faction.
Decentralized Marketplace: Developers purchase datasets or models using $DCAI tokens, with smart contracts enforcing terms. Unique assets are minted as NFTs, tied to faction contributions.
Community Governance: A DAO allows token holders to vote on priorities (e.g., incentivizing climate data), with voting power tied to attention scores.
Transparency: Blockchain records metadata and hashes, with data stored on IPFS or Arweave.
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