Smart Kitchen Assistant

Food waste and duplicate purchases mostly come down to poor pantry visibility — people genuinely don’t know what they already have. Manual logging, the obvious naive fix, is a known adoption-killer: it demands consistent discipline and most households drop off within days. Existing pantry apps are mostly recipe managers with a pantry feature bolted on, and none of them use purchase-frequency inference as the actual accuracy model.

The differentiating angle is receipt-based consumption inference: instead of logging what you eat, the system learns from repurchase patterns — “milk bought every week” implies roughly a gallon a week consumed — and surfaces gentle anomaly questions when a pattern breaks (“bread hasn’t been repurchased in six weeks — did it go bad, or is it still there?”). The goal is a reasonably accurate picture of what’s in the kitchen without requiring active maintenance, with expiry-aware meal suggestions as a natural downstream feature once the inference actually holds up.

Framed as a single-shopper household tool — the one person managing groceries and receipts, not a shared multi-account system.