Inspiration
We want to help people who love to travel enjoy a stress free experience by decreasing their commute time, this will allow them to enjoy their vacation as much as possible, while not requiring as much effort on their part.
What it does
The user will give a list of places they want to go, then using the Amadeus APIs we will determine what hotels are nearby and then using a patent pending machine learning algorithm we will find a location that allows as little commute as possible.
How we built it
With django, python, html, and javascript.
Challenges we ran into
Discovering Amadeus API capabilities; Creating an algorithm for determining what is the ideal location to stay.
Accomplishments that we're proud of
Finding a promising feature that travel websites don't have.
What we learned
How to use Amadeus API. How to integrate geodata to improve travel time predictions.
What's next for Loco
Fork a hotel booking system and implementing it with our LocoFit algorithm to improve its peformance. Implementing the machine learning system that will allow us to take into account factors such as predicted time of day for commute, possible routes and opening hours.
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