NoDelay

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?

App helps to predict the impact of weather on airplane departure times and predict possible delays. After user input of the airports of departure and arrival and flight date, it uses a pre-trained machine learning algorithm based on historical data of delays and weather conditions to accurately predict the range of possible delay (in minutes) and probability of delay under such conditions based on historical data.

Our solution is cross-platform web app that uses adaptive interface and is runnable both on Android, IoS or from any desktop using a browser.

Currently the solution supports only US flights, however we plan on covering other countries and building better predictive algorithm as well.

github.com
www.transtats.bts.gov
www.wunderground.com
and respective API's