Darshdeep Singh@dazai6906

AeroFlux AI is an AI-powered flight decision support system designed to simulate the next generation of flight operations. The platform combines real-time monitoring, multi-agent reasoning, and interactive visualization to help pilots and operations teams make safer, smarter, and more efficient decisions during flight. In AeroFlux, specialized agents for weather, fuel, air traffic control, and passenger comfort analyze live or simulated flight conditions in parallel, while a Supervisor agent arbitrates their outputs and produces a single prioritized recommendation for the pilot. The system supports both OpenSky live flight tracking and a realistic simulation mode, with the default scenario modeling a British Airways Heathrow-to-New Delhi route. Through a FastAPI backend, WebSocket-based real-time updates, and a React dashboard powered by Mapbox GL, AeroFlux provides live telemetry, route comparison, hazard visualization, and actionable pilot recommendations. Users can inject events such as turbulence, headwinds, ATC holds, or engine alerts to observe how the agents respond dynamically. By combining LLM-powered reasoning, structured aviation data, and human-in-the-loop decision support, AeroFlux demonstrates how AI can improve operational awareness, fuel efficiency, passenger comfort, and flight safety. It is not just a monitoring tool, but an intelligent copilot for modern aviation operations.

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