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Flight Price Prediction Using AI-ML

EasyChair Preprint no. 7583

6 pagesDate: March 17, 2022


The cost of an airline ticket is always get changed by a number of factors, such as flight kilometers, flight time, fuel price, etc. So, in that case people are always misjudged about the price of the fare which they will be going to paid at the time of booking. Each model has its unique and authentic rules and algorithms to set the price accordingly. But now things are dependent upon the festivals and many others factors too, which is not been considered earlier. Most current developments in Artificial Intelligence (AI) and Machine Learning (ML) make it a reality to find such rules and model cost and variation patterns. People those who will buy flight tickets frequently shall be able to guess the right time to procure a ticket to obtain the good and best deal. All the airplane make difference in ticket cost for their money management. To cure, we will be working on different data sets for getting the optimum results. We have also added the discount prediction page to make things more enjoyable for the user. Tools which we are using is Wamp server for database, web development technology to make things virtually attractive, Data Models and Machine learning algorithms to train our data sets and make the proper use of it. When we talk about the scope of the future, we can say that there may be many different things to be added such as flight delays or cancellations or to make things more digital like face scanner etc.

Keyphrases: Artificial Intelligence, Bill Payout data Page, Data models, Machine Learning Algorithms

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kunal Bhardwaj and Kartikey Gupta and C. Ramesh Kumar},
  title = {Flight Price Prediction Using AI-ML},
  howpublished = {EasyChair Preprint no. 7583},

  year = {EasyChair, 2022}}
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