Ingredient/Recipe Algorithm using Web Mining and Web Scraping for Smart Chef
Shilpa Chaudhari, R. Aparna, Vinay G Tekkur, Gianni Pavan, Shreekanth R Karki
Abstract
Due to busy lifestyle and irregular food habits, many of us have to eat diet food according to ingredients parameters. It is difficult to ask chef to make variety of recipes as per the diet plan. Many recipes exist on number of recipe websites, tempting the chef to prepare in their kitchen without knowing the diet ingredient proportion and side effects. In addition, listing all recipes containing a specific ingredient is still not an easy job. This paper proposes an algorithm for extracting all the recipes' details using web scraping and searching recipes containing intended ingredient using python and MongoDB. Web scraping retrieves the contents of a web page using python scrappy library and form database of them in the MongoDB format. This database is used for further research on smart chef application for healthy diet dishes in various varieties. A web and mobile app is developed for smart chef to maintain healthy life with variety of dishes.