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. The system builds consensus across a network of agents to validate disaster events and deploys drones for real-time data collection, all while maintaining a unified, distributed dataset that keeps every participant—from AI systems to human rescuers—working from the same verified information.
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.
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. Each component is modular and contributes to the overall functionality of the decentralized disaster response system.
At its core, this decentralized disaster response system operates through a network of both cloud-based and local AI agents, smart contracts, and autonomous drones. The system's architecture consists of three main layers: a monitoring layer powered by AI agents running on dstack-based open-source LLMs, a consensus layer managed through smart contracts, and an execution layer utilizing autonomous drones and human response teams. When potential disasters are detected, local and global monitoring agents process sensor data through vision-language models to assess the situation. These assessments are then validated through a consensus mechanism where multiple agents must confirm the event, helping prevent false alarms. Once consensus is reached, the system automatically deploys drones for data collection while smart contracts coordinate the response efforts, managing everything from identity verification of responding organizations to resource allocation. All this information feeds into a unified, blockchain-backed data picture that provides real-time situational awareness to both AI agents and human responders.
Huge thank you to SKALE Network, Nethermind, Blockless, The Graph, and Story for the support!
