Food Delivery App using Swiggy's API for restaurant data, location-based recommendations, menu browsing, and Razorpay for secure payments. Enjoy a seamless food ordering experience!
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Updated
May 23, 2024 - JavaScript
Food Delivery App using Swiggy's API for restaurant data, location-based recommendations, menu browsing, and Razorpay for secure payments. Enjoy a seamless food ordering experience!
Tasty-Tornado is a web application that allows users to search for restaurants and browse through real-time restaurant information. With FoodSale, users can easily find and order food from a variety of restaurants with using Swiggy Live Api.
Just a UI clone of Swiggy Landing page
This repo includes the whole code of a swiggy-clone which was made under the guidance of Akshay Saini's course Namaste React, right now it is in development you can check it out in the below deployed link
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
In this project, we conducted an analysis of Bangalore restaurant cuisines using data collected from Swiggy, a popular food delivery platform. We utilized Python and MS Excel to gather, organize, and analyze the data.
Food ordering web application using react JS (Use Swiggy live API for data) & design UI using Tailwind CSS
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