Developed by Boyan Apostolov.
Open Source System - GitHub
Fontys ICT — 2025
Our machine learning model analyzes historical flight prices between your selected airports. It uses features like the current ticket price, distance, and proximity to holidays to predict how many days before departure you should ideally book to get the cheapest deal.
It simulates purchasing the ticket on each possible day between today and your flight date, and picks the one with the lowest predicted price.
Technically, the model is a regression algorithm (e.g., Linear Regression and Random Forest Regression) trained on features like
price
, distance
, days before departure
, departure weekday
,
and holiday indicators
. It predicts the expected ticket price for each possible purchase date, and
selects the day with the lowest predicted value.