FLYTO

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?

We help you to SAVE time!

A user friendly web based app as well a mobile Android app that predicts weather-related flight delays. The app takes flight information (flight number, departure date) from users and predicts based on the weather conditions at the departure airport the maybe to expect flight-delay.

Benefits:

• cost-cutting - don't spent money for a overnight stay or a second trip to the airport
• convenience for the passenger - avoid long hours of waiting in crowded airports or overnight stays at the airport.
• better journey management - knowing the likelihood of a delay as it could help them prepare for the wait time.

Don't be delayed, try FLYTO!

Check out our solution here: http://space-naps.co/

• Flightstats API - departure time and the geolocation of the airport based on the user input
• Weather API - weather data based on geolocation.
• Machine Learning - we used Azure to build our prediction model
• Google Android Studio - for the Mobile Application
• React and JavaScript - for the Web Application