Chef Recommendation system

project graduation from Data Science Diploma machinfy

End to End project

Given a list of ingredients, what different recipes can I can make? based on what you have ingredients in your home , the system can recommended you best recipes here flowchar that the project work on :

1. scraping Data from jamieoliver that has many recipes
2. then processing Data ingredients that scraped
3. extracting Featuers with TF-IDF
4. build recommendation sys that use cosine similirity to measure similrity between ingredients that input from user and ingredients we scraped and exsist in our dataset
5. build flask Api
6. deployment the project with streamlit

feel free to try it by yourself Chef Recommendation system

best resources and articels that was so helpful and useful

1. https://towardsdatascience.com/building-a-recipe-recommendation-system-297c229dda7b
2. https://towardsdatascience.com/building-a-recipe-recommendation-api-using-scikit-learn-nltk-docker-flask-and-heroku-bfc6c4bdd2d4
3. https://jackmleitch.medium.com/using-beautifulsoup-to-help-make-beautiful-soups-d2670a1d1d52
4. https://www.datacamp.com/community/tutorials/streamlit
5. https://stevenkyle2013.medium.com/quick-intro-into-web-scraping-with-python-using-beautifulsoup-5ad319846168