This is my submission to the GHacks 2025 Hackathon at the University of Calgary, hosted by Hexagon.

Our group of 3, which includes me, Jasper Nelson, and Nafisur Nafis, submitted an program that processes geopositional data from a OEM7700 GPS receiver, and plots the data using Python and several Libraries.

• Reading and understanding documentation for data logs from GPS receivers
• Parsing noisy values from CSV files of the position logs
• Writing scripts in Python to read and analyse data
• Accurately plotting data using Matplotlib to visualize geospatial data

Our team won the award of Best Structured and Most Intuitive Logic, which is not an easy feat!

This was due our structured logic choices, and intuitive documentation.

• The function choice and logic flow were clear and easy-to-follow, with several helper functions and a clear workflow.
• For documentation, our team made sure to include consistant commenting, and concise Docstrings for each function call, making note of parameters and return values as clearly as possible.

We are proud to be noticed for our clear documentation and intuitive communication for our logic flow.