Medichain

AHA (Agentic Health Assistant) is a decentralized, AI-powered health management platform designed to provide secure, personalized wellness insights. It addresses key issues in healthcare, including fragmented data, privacy concerns, and the lack of personalized recommendations.

The platform integrates EigenLayer for decentralized data verification and blockchain-based storage, ensuring the accuracy and immutability of health records. Lit Protocol is used for secure authentication and private data interactions, allowing users to maintain full control over their sensitive health information. Covalent’s AI Agent SDK powers intelligent agents that analyze real-time user data and generate tailored health recommendations.

AHA enables users to securely manage their health data, receive proactive insights, and improve healthcare outcomes without compromising privacy. By combining blockchain security, AI intelligence, and decentralized trust, it represents a significant step toward the future of digital health.

AHA was built using a combination of blockchain, AI, and decentralized authentication technologies to ensure secure and personalized health management. The core smart contracts were developed in Solidity and deployed on Ethereum, leveraging EigenLayer for decentralized data verification. This ensures that health data from IoT devices, such as fitness trackers and smart glucose monitors, is securely recorded and immutable.

For authentication and data privacy, we integrated Lit Protocol, allowing users to securely sign in and manage private health data interactions. The Lit Agent Wallet was used to provide controlled access to AI-generated health insights, ensuring privacy and security.

To power personalized recommendations, we utilized Covalent’s AI Agent SDK, enabling AI-driven insights based on real-time health data. These agents analyze user activity and generate tailored wellness suggestions, adapting to lifestyle changes and medical history.

On the frontend, we built a React-based interface with wagmi and ethers.js for seamless Web3 interactions. Next.js was used for server-side rendering and API integration, while IPFS was explored for decentralized data storage.

A notable hack in our development was optimizing on-chain data storage by storing sensitive health information off-chain and using cryptographic proofs for verification. This reduced gas costs while maintaining security and privacy. Our project effectively combines blockchain security, AI intelligence, and user privacy, creating a robust decentralized health management platform.