From Aviation Data to AI Copilot: Building a Conversational Graph for Flight Intelligence
summary
Claims a working pipeline that turns live METAR/TAF into radio-formatted weather, picks the active runway and computes taxi routing, all tied into a conversational agent. Uses aviation.weather.gov API for live weather, an open‑source runway algorithm from GitHub to pick runways, Neo4j graph queries to compute taxi paths from terminal to runway, and an LLM (demo used Claude Sonnet 4) wrapped in Retool webhooks. Demo returns formatted ATC readouts, selects runway 18, and outputs the correct taxi route matching the airport diagram.
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chapters (8)
- 0:00Introduction and motivation
- 2:28Building realistic flight simulation
- 4:30Architecture and design choices
- 6:56Accurate weather integration
- 8:01Runway selection logic
- 9:46Graph database for taxi routing
- 11:51Live demo of AI copilot
- 14:39Summary and future steps
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