Recipe Recommendation System
About this project
Created a tool that recommends recipes based on ingredients inputted to help students eat better food. Scraped over 4000 recipes from All Recipes and Jamie Oliver using python and beautiful soup. Parsed recipe ingredients and created word embeddings using Word2Vec and TF-IDF. Created a recipe recommendation system using cosine similarity to measure Euclidean distance between the word embeddings of recipe ingredients. Built a client-facing API using flask, and a user-friendly app with Streamlit.
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