Flyhigh:Machine Learning Based Airline Fare Prediction Model

Nowadays, the uncertainty about the flight ticket price has become a major problem. Each service provider has their own set of regulations and ways for determining the prices. The airline, the date of travel, source, destination, route, duration, purchasing time, fuel price, etc. are few factors affecting the overall price of an airline ticket. So, it can be hard to guess the airline fares when we check it today compared to the other day. Technology can bring a solution through the implementation of Machine Learning techniques to deal with the uncertainty of future flight ticket prices by saving time and money of many customers. To Solve this problem this text proposes flight price prediction system using random forest which gives price prediction with 95% of accuracy. A customer centric application to predict the minimum flight ticket price is discussed in our proposed work.