DelAi - Flight delay checker

THE CHALLENGE: Clear for Take Off
Aeronautics

To comply with security and airline protocol, air travelers should arrive at the airport well in advance of their flight. Without realizing the probability of adverse conditions at the time of the scheduled departure, they may experience inconvenient delays at the airport. Delays can be short and relatively easy to manage, or they can cause long hours of waiting in crowded airports. Flight delays can even cause forced overnight stays at local hotels or inside the terminal. Travelers could benefit from knowing the likelihood of a delay as it could help them prepare for the wait time. Can an app be developed that predicts the impact of weather on airplane departure times?

Explanation

When flights are delayed, airports get crowded, people get stranded, and airlines have to compensate. Wouldn't it be great if travelers could input their flight number and find out the likelihood of a delay? DelAI is a mobile-friendly application powered by a machine learning algorithm that was trained with historical flight and weather data. The ML takes the flight information and the destination airport weather data in order to predict the probability of a delay.

Resources Used

Wunderground weather API, Openflights datasets, DOT historical flight data, FlightAware FlightInfo API.

Made inCambridge, MA USA
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