A group-built recipe recommendation platform that helps users discover meals from available ingredients and personalized preferences.

RecipeRecommendation was built as a collaborative project focused on making meal discovery feel easier and more personalized. Instead of forcing users to search from scratch, the experience centers around what they already have, what they like, and what they want to cook next.
The interface combines ingredient-based search, recommendation flows, and saved content into a cleaner experience that feels more like a guided kitchen companion than a simple recipe list.
The project solves a real everyday problem: people often know what ingredients they have, but not what they can make with them. This turns that friction into a more useful discovery flow.
As a group project, it also demonstrates product thinking, collaboration, and building a cleaner user experience around recommendation and search features.
The repository includes the project implementation and supporting details for the work behind the app.
Open GitHub Repository