Starship Anomaly Monitor
8.2
A real-time anomaly detection platform analyzing sensor data from spacecraft like Starship during re-entry and landing. It utilizes machine learning to identify deviations from expected behavior and alert engineers to potential failures or issues in real-time, improving post-flight analysis and future design iterations.
180h
mvp estimate
8.2
viability grade
4
views
technology stack
Python
PostgreSQL
Difficult
inspired by
Starship test flight data provides insights for engineers