SomaAgent
SomaAgent's Team
Problem Statement
Artists and performers lack verifiable systems to capture, classify, and monetize their body data. Traditional motion capture is expensive, centralized, and provides no on-chain provenance. SomaAgent solves this by creating an autonomous pipeline that classifies human movement through Laban Movement Analysis, generates AI-powered art metadata, and records everything on-chain with ERC-8004 receipts � giving artists full sovereignty over their body data and creative output.
Autonomous motion analysis agent that captures human movement via MediaPipe, classifies it through Laban Movement Analysis (8 efforts), generates AI art metadata via Ollama LLM, and mints NFTs on Base with ERC-8004 verifiable receipts. Full autonomous pipeline: Camera ? MediaPipe ? Laban Classifier ? LLM ? ERC-8004 Log ? IPFS ? NFT Mint. The agent bridges body, technology, and data sovereignty � enabling verifiable motion analysis for artists and creators.
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SomaAgent
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Intention
Plans to continue
Planning to expand SomaAgent to support more movement analysis frameworks, add multi-modal AI analysis (audio + visual), and build a marketplace for body data sovereignty