International Journal Of Imaging

Abstract

ML-Based Indian Air line Flight Fare Prediction

Author: VoodemBharathReddy, K.Navaneetha ,V.Raveena ,Y.JithendraSai ,Suresh Talwar

Abstract:

Currently, everyone loves to travel by flights. Going along with the study, the charge of travelling through a plane change now and then which also includes the day and night time. Additionally, it changes withspecial times of the year or celebration seasons. There are a few unique elements upon which the cost of air transport depends. The salespersonhasdataregardingeachofthevariables,however,buyers can get confined information which is not sufficient to foresee the airfarecosts.Consideringtheprovisions,forexample,timeoftheday, thenumberofdaysremainingandthetimeoftake-offthiswillprovide the perfect time to purchase the plane ticket. The motivation behind this paper is to concentrate on every component that impacts the variations in the costs of this means of transport and how these are connectedwiththediversityintheairfare.Subsequently,atthatpoint, utilizing this data, construct a framework that can help purchasers when to purchase a ticket. Machine Learning algorithms pr