AirFQ

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Check GitHub for more information and setup instructions!

Inspiration

Looking out of your window on a long plane journey and seeing that you are entering a thunderstorm is a scary feeling. Doing the same from the pilot's seat? Even scarier.

Many pilots inadvertently enter IMC (Instrument Meteorological Conditions), where the only way you can navigate is with reference to your instruments, since you can't see anything outside. In general aviation, about 35% of crashes happen due to pilots entering such conditions and not being able to get out of it since they lack the training. The solution is simple, better weather forecasting, more accurate updates and fostering a culture of better aeronautical decision-making. The first step however, presents many challenges, it is difficult to predict the weather well enough into the future, and it is a long process to figure out if it is safe to fly.

What it does

AirFQ is a suite of tools that helps pilots make better decisions and help them in their journeys. AirFQ provides a tool for pilots to retrieve forecasts, get corrected forecasts using an AirFQ device that can ingest data from planes currently flying, and compare those forecasts with existing forecasts to see the difference, and be able to see any upcoming adverse weather and traffic in a heads up display.

How I built it

Sweat, tears and hard work.

Challenges I ran into

I have limited experience with game development and AR/VR, thus getting used to Lens Studio in such a short span was difficult.

Accomplishments I am proud of

The FQ in AirFQ stands for "Flight Qualified", and it has rightly earned that name since the device was tested in an actual plane during the hackathon to get real-life data.