F1 Telemetry Dashboard
Building a real-time data visualization platform to ingest and compare high-frequency Formula 1 racing telemetry across drivers and circuit sectors.
Problem
Motorsports analysts lacked an accessible tool to compare live and historical telemetry data across drivers, sessions, and circuit sectors. Existing platforms were either too complex or lacked real-time updates, making it difficult to derive insights during race weekends.
Solution
I’m developing a Python/Next.js application that uses the FastF1 library to fetch live and historical F1 data, processes high-frequency telemetry streams, and renders interactive charts via D3.js. The app supports sector-by-sector lap comparisons, tire strategy analysis, and real-time race deltas. A WebSocket layer ensures sub-second updates during live sessions.
