PREDICTION OF FLIGHT DELAY USING MACHINE LEARNING









Abstract

Flight scheduling, is one of the challenging issue in the Modern world, which is faced with many uncertain conditions. One of such conditions is delay, which comes from various factors and inflicts considerable cost on airlines, operators, and travelers. So , we are implemented flight delay prediction through some proposed approaches based on machine learning algorithms. we are proposing machine learning algorithms Random Forest, Decision Tree, MLP Classifier, SVM. The aim is to predict Flight Delays, As airways is one of the highest economy producing field for most of the countries and among all transportation airways is considered as the fastest and the most comfortable transport, so to identify and predict flight delays, can dramatically reduce the air traffic, flight delays which in turn saves huge amount . we hope that the techniques which are used in this project will enable airline companies gets accurate predictions of the delays and improves the flight planning, and prevent the delays.


Modules


Algorithms


Software And Hardware