Flight Fare Prediction System

EasyChair Preprint 5542

Abstract

 Travelling through flights has become an integral part of today’s lifestyle as more and more people are opting for faster travelling options. The flight ticket prices increase or decrease every now and then depending on various factors like timing of the flights, destination, duration of flights. various occasions such as vacations or festive season. Therefore, having some basic idea of the flight fares before planning the trip will surely help many people save money and time. In the proposed system a predictive model will be created by applying machine learning algorithms to the collected historical data of flights. This system will give people the idea about the trends that prices follow and also provide a predicted price value which they can refer to before booking their flight tickets to save money. This kind of system or service can be provided to the customers by flight booking companies which will help the customers to book their tickets accordingly.

Keyphrases: Machine Learning Algorithm, Predictor, Regression, airfare

@booklet{EasyChair:5542,
  author    = {Vinod Kimbhaune and Harshil Donga and Asutosh Trivedi and Sonam Mahajan and Viraj Mahajan},
  title     = {Flight Fare Prediction System},
  howpublished = {EasyChair Preprint 5542},
  year      = {EasyChair, 2021}}