About the project
I'm Dan — a CS graduate about to spend 2–3 years travelling across four continents on working holiday visas. Before I left, I wanted to answer a question: what does long-term nomadic life actually look like in data?
TravelNet is the answer. A Raspberry Pi 4B runs unattended throughout the trip, ingesting GPS traces, health metrics, financial transactions, and weather data around the clock. By the time I return, I'll have a continuous, multi-year personal dataset unlike anything that typically ends up in a portfolio.
The ML pipeline — clustering, segmentation, anomaly detection — kicks off from Australia, using the US baseline data for comparison. The public demo here is the anonymised output of all of it.