RECIpie was inspired by the nightly “what’s for dinner?” scramble—especially for university students. It’s a swipe-first recipe finder: enter the ingredients you already have, then RECIpie recommends matching dishes, shows per-ingredient and total cost, and lets you like/dislike and save favorites—plus it auto-creates a shopping list for missing items. It’s particularly helpful for freshman and sophomore students cooking with limited ingredients and tight budgets. We built it by parsing a large recipe dataset, normalizing messy ingredient text (e.g., “tomato” vs. “tomatoes”), computing overlap scores, and attaching simple price estimates from a small price table. We learned a ton about data cleaning, fuzzy matching, and building a responsive card UI. Biggest challenges: inconsistent ingredient formats, keeping lookups fast on large JSON files, and making pricing clear and trustworthy.

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