FlyFarePredictor - Flight Fares Prediction and Recommendation Generation System

Abstract

"Flight fare fluctuation is a crucial concern that has to be faced by passengers. The airline services don’t reveal the pricing formulas to the general public. In some cases, when buyers go to reserve their tickets, they are unable to decide to book tickets although the fares are in the normal range. So, the aim of the research was to build a system for predicting airfares and suggesting to users whether they should buy the tickets or wait to buy. Also, the lowest airfare on the selected flight was predicted. To collect the requirements, literature reviews, observations, and questionnaires were conducted. The results revealed that the Random Forest algorithm is the most efficient approach for prediction. Finally, the author concluded that existing systems haven’t been included in the recommendation-generating approach and most of the existing systems were web-based. So, a mobile-based flight fare prediction system was built using new techniques."