markchen8717 / ML_foodie

A web app that takes in a list of foods from user provided input, scrapes the web with that data, parses the results, and then feeds it into a machine learning model to give the user the best meals and recipes!

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ML_foodie

A web app that takes in a list of foods from user provided input, scrapes the web with that data, parses the results, and then feeds it into a machine learning model to give the user the best meals and recipes!

Project Hierarchy

Web App

  • List of Foods Available (Input)
  • Recipe Results (Output)
    • Recipe Ratings (Our machine learning model assigns a score to each recipe)
    • Safety Warning (Some mixed foods in the recipes don't go well)

Back-End (Django)

  • Web Scraping (Food2Fork API)
  • Parsing (BeautifulSoup)
  • ML Model (Preferably library)

About

A web app that takes in a list of foods from user provided input, scrapes the web with that data, parses the results, and then feeds it into a machine learning model to give the user the best meals and recipes!


Languages

Language:HTML 67.5%Language:CSS 13.9%Language:Python 11.6%Language:JavaScript 7.1%