Restructuring the modern cook’s flow
Recipes now live across videos, blogs, and social feeds, making them hard to capture, compare, or cook from reliably. My Culinary Curator app explores how multimodal AI could extract and structure recipes from fragmented sources and turn everyday cooking inspiration into clear, usable steps.
Exploring AI-assisted cooking workflows involved designing prototypes that translates messy food content into structured recipes. This app tests AI extraction from videos, blogs, and images, then layers AI predictions for missing quantities, timing, and substitutions while keeping the original source visible.
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Extracts ingredients and steps from social content
Clearly labels exact vs AI-inferred information
Adapts instructions to diet, time, skill level, and energy
Provides step-by-step, hands-free guidance with timers and cues
Suggests smart substitutions using pantry awareness
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Users scan pantry items or paste a recipe link, image, or video they already trust.
The system transforms scattered inspiration into a clear, structured recipe with visible confidence markers.
Step-by-step, hands-free guidance reduces cognitive load through pacing, timers, and cues.
Smart substitutions and adaptations adjust for diet, time, and skill without removing agency.
Post-cook feedback quietly improves future recommendations, reinforcing ease over effort.
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Preserve culturally rich recipes without flattening context or erasing authorship.
Clearly separate source truth from AI inference to maintain trust.
Make AI intent and confidence visible through transparent design.
Augment human expertise rather than replace it.
Promote wellness, sustainability, and equitable knowledge sharing.
Eventually support multiple languages, abilities, and learning styles with accessible, multimodal guidance.
