DAOsaster

In disasters where traditional communication and coordination fail, our project introduces a decentralized, autonomous disaster response system leveraging AI agents, drones, and blockchain technology. We deploy a network of AI agents—global, regional, and local—that continuously monitor environments for signs of disasters. Upon detecting an event, these agents collaborate through a blockchain-based consensus mechanism to confirm the disaster, collect data, and coordinate responses.

Key Features:

Autonomous Agents: AI agents detect disasters and coordinate with other agents and human organizations. Decentralized Coordination: Blockchain is used for trust, identity verification, and tasking rescue efforts without reliance on centralized systems. Autonomous Drones: Integration of drones for real-time data collection and support in rescue operations. Consensus Building: Agents report disasters and build consensus across the network to validate events. Shared Data Platform: Creation of a unified, distributed dataset that maintains a shared understanding of the situation among all participants. How It Works:

Monitoring and Detection: Agents continuously monitor various data sources and sensors for disaster indicators. Consensus and Reporting: Once a potential disaster is detected, agents report it and seek confirmation from others to build consensus. Data Collection and Sharing: As confidence in the disaster report grows, more resources like drones are deployed to gather additional data. Autonomous Coordination: Agents autonomously coordinate the deployment of resources and communicate with human organizations for an effective response. Human Collaboration: Organizations and individuals can interact with the agents, verify their identities through decentralized mechanisms, and contribute to the response efforts. Impact:

This system enhances disaster preparedness and response by:

Providing a resilient communication network that doesn't rely on traditional infrastructure. Enabling rapid, coordinated responses through autonomous decision-making. Ensuring trust and transparency via blockchain technology. Facilitating collaboration between autonomous systems and human responders. Project Structure:

Our project includes various components such as AI agents, smart contracts for blockchain interaction, tokenization of AI agents, and front-end interfaces for user interaction. Each component is modular and contributes to the overall functionality of the decentralized disaster response system.

Our project is constructed by seamlessly integrating a suite of advanced technologies to establish a decentralized, autonomous disaster response system. The initial phase involves data collection from local and global agents using drones that survey and gather crucial information from disaster-stricken areas. This data—which includes high-resolution video files and photographs—is stored on Walrus, a platform adept at handling large file sizes efficiently.

To monetize and distribute this valuable content, we utilize Story Protocol, enabling entities like news journalists to mint and use the data. Any profits generated through this process are funneled back into a DAO (Decentralized Autonomous Organization) contract, which the AI agents use to manage the supply chain. This includes automating the purchase of essential supplies like food and arranging logistics such as flight tickets for volunteers.

When a disaster occurs, the AI agents initiate communication among themselves via the SKALE chain, assigning roles and coordinating actions autonomously. They leverage the Graph Protocol to query and process data swiftly, ensuring a responsive and efficient operation.

Volunteers play a vital role by running DStack on their local computers, which allows them to organize and upload data to automate tasks further. For secure and confidential computing, we employ the Phala Network to run local Trusted Execution Environments (TEEs), safeguarding sensitive information and processes.

To bolster liquidity and funding for the DAO managed by the AI agents, users can tokenize any of the AI assets—from drones to omni-gel devices—thereby contributing to the community's resources. We have integrated Dynamic Wallet to streamline user onboarding and wallet interactions, making it easier for participants to engage with the platform and support the disaster response efforts.

This collaborative integration of technologies not only enhances the efficiency and effectiveness of disaster response but also fosters a community-driven approach where both AI agents and humans work in tandem to mitigate the impacts of disasters.