# AeroAid - Natural Language for Disaster Relief Drone Operations

- **Event:** [GPT-5 Startup Hackathon NYC](https://cerebralvalley.ai/e/gpt5-nyc)
- **When:** Sep 27 at 9:00 AM – Sep 28 at 5:00 PM (EDT)
- **Where:** The Malin Flatiron, New York, NY
- **Team:** [Katherine Bi-Ji](https://cerebralvalley.ai/u/kbiji), [Cobe Liu](https://cerebralvalley.ai/u/Cobe)
- **GitHub:** https://github.com/Cobeml/llm-drone-controller
- **Demo video:** https://youtu.be/puzHxe6noaM
- **Gallery:** https://cerebralvalley.ai/e/gpt5-nyc/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gpt5-nyc/hackathon/gallery/52

In disaster zones, every minute matters. Drones can deliver supplies and locate survivors, but today responders must manually program waypoints or rely on technical operators -- a slow process when lives are on the line.

AeroAid solves this by supercharging the industry-standard PX4 autopilot and MAVLink protocols with GPT-5. Instead of coding waypoints, responders simply give high-level instructions like: “Survey the flooded zone and deliver supplies to the school gym.” AeroAid interprets the intent, decomposes it into subtasks, and generates validated PX4/MAVLink missions that drone fleets can execute immediately.

Our system integrates natural language processing, mission validation, and multi-drone coordination into a single pipeline. In simulation, drones receive GPT-5 generated missions, execute them, and stream telemetry (position, battery, wind, speed) back to a central dashboard for situational awareness. We demo using Gazebo Sim.

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