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.