RescueRoute AI - Autonomous Disaster Response

Created by team RescueRoute AI Systems on February 14, 2026
Assistants APIGemini AIAI/ML API
Autonomous Robotics Control in SimulationRobotic Interaction and Task Execution (Simulation-First)

RescueRoute AI is an autonomous disaster response coordination platform that combines real-time simulation, AI-driven command decisions, and fleet monitoring to optimize emergency response operations. The system features: - Multi-robot fleet simulation with A* pathfinding for obstacle avoidance - Real-time data streaming via Server-Sent Events (SSE) for instant dashboard updates - AI-powered strategic decision-making using Google Gemini to prioritize missions and manage battery constraints - Automatic battery management with intelligent charging station routing - Production-ready architecture with proper state management, CORS security, and structured logging Built during the 48-hour hackathon using FastAPI (backend), Next.js 16 + React 19 (frontend), and Google Gemini AI. The simulation engine manages 5 autonomous robots across a 50×50 grid with obstacles, charging stations, and mission priorities. The architecture is designed to scale from disaster response to warehouse automation and urban logistics scenarios. Tech Stack: FastAPI, Next.js, TypeScript, Tailwind CSS, Google Gemini AI, Docker Compose

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"You guys did good but definitely you can enhance the presentation part. Team you can follow this structure for the next time when you're presenting your next product:- Step 1- Define what is the problem. Step 2- How currently available solutions are solving this problem ? Step 3 - How're you solving that ? Step 4- What's your revenue model- that means how will you be generating revenue from your product, cuz if you won't be able to make money from your startup then that's just another college project ? Take this as constructive feedbacks."

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Shaktesh Pandey

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"Architecture: Frontend dashboard (Next.js) Backend API + SSE (FastAPI) Simulation service Docker support Pros: ✅ Complete full-stack system ✅ Good documentation ✅ Disaster response use case (real problem) ✅ Has demo video ✅ Docker support Cons: Zero stars Similar to other fleet/orchestration projects we've seen Less innovative than FleetMind or Prometheus-Nexus No unique AI breakthrough mentioned"

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Sanem Avcil