Aditya-Lingam-9000/ResilioMesh

Resilio Mesh is a decentralized emergency disaster management system using P2P mesh networking and edge AI to provide real-time situational awareness during disasters when traditional infrastructure fails, allowing incident reports to be analyzed and shared. # 🌀 Resilio Mesh: Next-Generation Decentralized Crisis Response & Intelligence Resilio Mesh is a next-generation, decentralized, offline-first crisis coordination and tactical response platform. Designed specifically for critical environments where power grids, cellular networks, and internet backbones have collapsed, Resilio Mesh combines **local peer-to-peer WebRTC networking**, **on-device multimodal Vision-Language Models (VLMs)**, and **remote strategic AI orchestration** into a robust, life-saving operational dashboard. Kaggle Competition: The Gemma 4 Good Hackathon Kaggle Writeup: See Here Demo Functional Video: See Here --- ### For instructions on setting up this project on a new machine, please refer to docs/New_Machine_Setup_Guide.md. --- ## 📖 Table of Contents 1. What is Resilio Mesh? 2. Why Resilio Mesh? 3. How to Use the Project 4. Solving Real-World Problems 5. The Power of Google Gemma 4 6. Architectural Optimizations 7. Deep-Dive: Edge Intelligence in Remote Zones 8. Deep-Dive: Decentralized WebRTC Mesh Architecture 9. Deep-Dive: VLM-to-Strategic Orchestration Handshake 10. Deep-Dive: Low Power & Resource Conservation 11. Targeted Usecases 12. Core Benefits 13. Future Roadmap & Updates --- ## 🌀 1. What is Resilio Mesh? Resilio Mesh is an ad-hoc, peer-to-peer network ecosystem that enables emergency responders, community groups, and military personnel to coordinate rescue efforts without relying on central servers, cellular infrastructure, or active internet links. The system runs completely inside web browsers and local terminal execution wrappers. Responders deploy **Edge Nodes** on standard commercial laptops. These nodes use the device's camera or image upload capabilities, grab localized GPS coordinates (with intelligent fallbacks), and use a local offline instance of Google’s **Gemma 4 VLM** to run instant multi-modal analysis. The resulting structured emergency reports are broadcast across a decentralized local WebRTC mesh. At …