Exercise 2: Why a Generic Product Name Might Not Match TheMealDB — Possible Solution
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WHY THE NORMALIZATION ISN'T ENOUGH
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The .toLowerCase().replace(/\s+/g, "_") normalization only handles case and spacing - it turns "Chicken Breast" into "chicken_breast", matching TheMealDB's own expected format for that specific ingredient name. It does nothing to handle the fact that a real pantry item's name often contains brand names, package descriptions, or qualifiers ("Trader Joe's Organic Chicken Thighs") that have no corresponding entry in TheMealDB's own fixed, curated ingredient vocabulary at all - there's no "trader_joes_organic_chicken_thighs" ingredient in that database, and the normalization doesn't strip away the brand name or qualifiers to arrive at something that would match.

WHY THIS IS A SCOPE LIMIT, NOT A BUG
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Genuinely solving this would require something well beyond simple string normalization - matching free-text product names against a fixed vocabulary is a real, open text-matching problem (fuzzy matching, ingredient-name extraction, or a lookup table mapping common products to TheMealDB's own terms). This course's own realistic scope is "best-effort matching using a barcode-scanned or manually-entered name," not building a general product-name-to-ingredient resolution system - so a name that doesn't match cleanly is an honest limitation of that scope, not a defect in the code that was actually written.

WHY THIS WORKS AS AN ANSWER
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It correctly explains what the normalization does and does not handle (case/spacing only, not brand names or qualifiers), and correctly frames the mismatch as an honest, named boundary of this course's own scope rather than something the existing code failed to do correctly.