Meeting and lecture transcription, inspired by Otter.ai and OpenAI's Whisper API: audio uploaded to object storage, cut into chunks at silences and transcribed in parallel on GPU workers, stitched back together with speaker labels, and made searchable. A teaching design.
Build this system yourself on the canvas below. Add components, connect them, and run traffic simulations to see where your design holds up and where it breaks.
You're in the middle of an interview session. Leaving now will end your current attempt.
Explore concept overviews, real-system examples, key tradeoffs, and interview talking points for each roadmap section.
You've conquered this phase. These are the skills you now own: