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."
