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?
Our project aims to reduce uncertainty level of travelling informing passengers of various changes in flight plans generated by weather, this also creates a favorable outlook towards airlines, which saves money by not having to book a hotel for passengers who may be delayed at the airport and also preserve the prestige given by concern for them.
Anaconda https://anaconda.org/
Ninja IDE http://ninja-ide.org/
Flightstats API http://www.flightstats.com/
Aviation Weather https://www.aviationweather.gov/