Flight Planner

Inspiration

In a post pandemic-world where all across the world restrictions are being eased, there is bound to be a boom of air travel. An important issue in today's world is the devastating impacts of climate change on certain regions on Earth. This program seeks to minimize the environmental impact of the travel boom that is sure to be observed in the coming months, all the while saving the common traveller funds along the way.

What it does

This program is meant for the environmentally conscious traveller. You can select multiple busy airports in the United States and this program will chart the most efficient flight path for you to minimize your carbon emissions. This program analyses potential flight paths using a standard "greedy algorithm", and a specially crafted "sectional" algorithm.

How we built it

We delegated the work so that each project member could work on what they most felt comfortable doing. This program is built entirely in Python.

Challenges we ran into

The true difficulty of seemingly easy tasks. Some examples: efficiently finding the closest point and creating many buttons with several functions using a loop.

Accomplishments that we're proud of

We as a team feel that we accomplished a very competent flight planner within the 24 hour time period we were given. We are confident, that with more time, the quality of the project could only improve.

What we learned

We learned the intricacies of interfacing, as well project management and working together in a team. As well as the practical applications of GitHub for collaborative coding projects.