Flight Price Prediction Using Machine Learning

Abstract

Machine learning is a field of study that
works with computer algorithms and data. It basically
builds a tool on sample data and then predicts or take
decisions about the same data without the need of
specific programming. ML has its use in various
industries including aviation industry where it is used
to predict flight prices.
In today’s world, flights have become a common mode
of transportation for humans. It is faster way to reach
destinations, thus saving a lot of time. But also not
everyone can afford a plane ticket and fly high in the
sky. The ticket prices for a plane journey are very high
when compared to that of a train or a bus. But
irrespective of that, nowadays the number of people
using flights have increased massively. Thus it becomes
very hectic to maintain the prices of tickets with
changing conditions. The airline companies use
various complex techniques to predict the various flight
prices using various factors present at that time. These
factors commonly include market related issues,
financial issues and various social issues. So it becomes
difficult for them to do so. Also the consumer has no
such tool in hand to have an idea about the ticket
prices, that could very helpful.
This project is designed and developed keeping in mind
this problem and develops an algorithm that predicts
various flight prices keeping in mind various factors
that affects them. This can help the airline companies
to check what prices they could maintain. Also it would
help the customer to predict future flight ticket prices,
which would help in planning the trip accordingly