MediChain AI

Videos

Description

MediChain AI: Unleashing DeSci with Autonomous Agents & Data Sovereignty! 🚀

Inspiration

Medical data silos: Research is stifled by privacy fears and fragmented data.
CARV's vision: Perfect infrastructure for private, collaborative AI in Web3.

What it does

Patient Power (CARV ID - Track 2.3): Patients own their data via ERC-7231 NFTs, granting granular, on-chain access to AI agents for research. This solves real-world privacy problems with multi-identity integration.
Autonomous Research (CARV SVM Chain - Track 2.1): AI agents, orchestrated on SVM Chain, perform privacy-preserving Federated Learning on anonymized data for DeSci. Emphasizes agent autonomy, on-chain execution, and real-world applicability.
Data Orchestration (CARV D.A.T.A. Framework - Track 2.2): Securely bridges and orchestrates multi-chain/off-chain data for agents. Showcases data pipeline completeness (collection to application) and AI's role in processing, utilizing D.A.T.A. tools.
AI Insights (Open Innovation - Track 2.4): Gemini LLM delivers AI-powered summaries, next steps, and term explanations, driving novel, viable solutions in healthcare.

How I built it

Frontend: React (Vite), Ethers.js for Web3, integrated with Google Gemini API for AI insights.
Backend: Python (Orchestrator, AI Agent for Federated Learning simulation, Data Provider, DeFi Agent demo). Uses web3.py for contract interaction.
Smart Contracts: CarvIdNFT (ERC-721/7231-compliant) for identity & access, MedicalResearchResults for on-chain research outcomes.
CARV Stack: Leveraged CARV ID for identity, D.A.T.A. Framework for data concepts, and SVM Chain for agent orchestration, demonstrating deep CARV integration.

Challenges

Bridging Python Backend to Frontend: Simulating real-time updates and on-chain triggers.
CARV D.A.T.A. API Integration: Navigating endpoint changes and ensuring correct authorization.
UI/UX for Complex Concepts: Presenting decentralized AI and data ownership intuitively in a single-page app.

Accomplishments

Full MVP: Demonstrates a complete end-to-end flow from patient data ownership to AI-driven, on-chain research results.
Multi-Track Champion: Hits Track 2.1 (AI Agent Infra) by showcasing agent orchestration for DeSci. Excels in Track 2.2 (Decentralized Data Orchestration) through data pipeline and AI processing. Innovates in Track 2.3 (CARV ID) with granular access control. And stands out in Track 2.4 (Open Innovation) with its novel AI x Web3 healthcare use case, strong user protection, and deep CARV integration.

Future Plannings

Real-time D.A.T.A. Integration: Direct data ingestion and querying via CARV D.A.T.A.
Full SVM Chain Deployment: Deploying core AI agent logic directly on CARV SVM Chain for verifiable computation.
Advanced AI: More complex Federated Learning algorithms and LLM integration for dynamic agent behavior.
Broader Data Types: Expand to more diverse medical datasets and cross-chain data relays.
Community Governance: Implement decentralized governance for research funding and result validation.

Progress During Hackathon

Our journey during this hackathon has been an intense sprint from concept to a robust Minimum Viable Product. Starting entirely from scratch, we meticulously designed and implemented a multi-faceted solution. We successfully developed the React frontend, enabling intuitive patient data ownership via CARV ID (ERC-7231) and AI research orchestration. On the backend, we built the Python-based federated learning simulation, orchestrating data flow and on-chain result submission. A significant achievement was deploying and integrating our custom CarvIdNFT and MedicalResearchResults smart contracts, forming the immutable backbone of our system. We navigated and overcame complex API integration challenges with the CARV D.A.T.A. Framework, ensuring secure data conceptualization for our AI agents. Furthermore, we integrated Google's Gemini LLM for dynamic, AI-powered insights, adding a crucial layer of intelligence. This comprehensive development, from smart contract logic to responsive UI and intricate backend orchestration, was all achieved within the hackathon's demanding timeframe, culminating in a fully functional, privacy-preserving Decentralized Science platform.

Tech Stack

Solidity

Python

React

Web3

Ethers

Rust

Fundraising Status

Not Yet