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food-ordering

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the 'Swiggy Restaurant Recommendation Model,' simplifies decision-making by using data science and machine learning. It offers personalized restaurant suggestions to users based on their cuisine and location preferences. The process involves data scraping, cleaning, machine learning, and the creation of an interactive web app for an enhanced dining

  • Updated Nov 20, 2023
  • Jupyter Notebook

It is a simple food-ordering e-commerce site created using HTML, CSS, and JavaScript. It features a food catalog, an easy-to-use shopping cart with real-time total price updates, and a sample design of the payment process. The site uses local storage to store and manage cart items. However, it does not include a login or registration system .

  • Updated Nov 28, 2023
  • CSS

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