Recipe Recommender (RR) is a web-app that finds recipes. In particular, it takes into consideration the ingredients the user already has, helping the user find recipes to make while only additionally purchasing a few more ingredients.
RR was created during Hack Shanghai, hosted at NYU Shanghai, with a team of 3. My contribution to the project was the client and the backend infrastructure. We used SQLite to store data, with an internal API to allow switching SQLite with a different SQL implementation such as PostgreSQL. I also implemented an ingredient “stemming” algorithm, which treated similar ingredients as one–e.g. a can of peas and fresh peas becomes a single peas for the purposes of the search.