Your question is Design an On-Device ML Feature. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are adding a new on-device ML feature to a consumer device. The feature improves personalization, but the device has tight RAM and flash limits, and the model must coexist with other system workloads.
How do you handle resource constraints (RAM, flash) when adding features?