Meetly+ was inspired by the challenge of finding a fair and sustainable meeting location for globally distributed teams. In an increasingly remote and international world, deciding where to meet can be complicated — balancing flight times, travel distances, and carbon emissions. The “Meeting in the Middle” challenge from QRT sparked the idea of building a tool that could automate this process using real-world data and AI-driven analysis.
What We Built
We created Meetly+, a Python-based application with an interactive GUI built using CustomTkinter and TkinterMapView. The tool allows users to input up to four departure airports (IATA codes), then calculates and visualises potential meeting hubs on a world map. It uses travel data and simple algorithms to compare locations based on:
Mean travel time
Total travel distance
Estimated CO₂ emissions
Fairness between travellers
The results are displayed in a clean, modern interface with a ranked table and map visualisation, allowing users to quickly identify the most balanced hub.
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