Low Level Design of Food delivery app - Zomato, Swiggy, UberEats

A clone of Zomato, A Online Food Ordering App using Jetpack Compose

Zomato Clone - Food Delivery Application Clone using React JS. In this Zomato App clone I have cloned maximum pages Home page, User Profile page, Food Selection page, Settings page etc... As it is only frontend clone I have added static data but in a dynamic way so data can be changed easily or added easily.

Flutter Zomato App UI Code Tutorial 😅✌️

This is demo code for LLD Bootcamp. It is not intended to be production level code and can be improved, but it sets the thought process and provides examples for how classes can be structured in a food delivery app like Swiggy or Zomato. process

# **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset. Build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features DEPLOY the Machine learning model via Flask that can be used to make live predictions of restaurants ratings A step by step guide is attached to this documnet as well as a video explanation of each concpet. Zomato is one of the best online food delivery apps which gives the users the ratings and the reviews on restaurants all over india.These ratings and the Reviews are considered as one of the most important deciding factors which determine how good a restaurant is. We will therefore use the real time Data set with variuos features a user would look into regarding a restaurant. We will be considering Banglore City in this analysis. Content The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry has’nt been saturated yet and the demand is increasing day by day. Inspite of increasing demand it however has become difficult for new restaurants to compete with established restaurants. Most of them serving the same food. Bengaluru being an IT capital of India. Most of the people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves. With such an overwhelming demand of restaurants it has therefore become important to study the demography of a location. What kind of a food is more popular in a locality. Do the entire locality loves vegetarian food. If yes then is that locality populated by a particular sect of people for eg. Jain, Marwaris, Gujaratis who are mostly vegetarian. These kind of analysis can be done using the data, by studying the factors such as • Location of the restaurant • Approx Price of food • Theme based restaurant or not • Which locality of that city serves that cuisines with maximum number of restaurants • The needs of people who are striving to get the best cuisine of the neighborhood • Is a particular neighborhood famous for its own kind of food. “Just so that you have a good meal the next time you step out” The data is accurate to that available on the zomato website until 15 March 2019. The data was scraped from Zomato in two phase. After going through the structure of the website I found that for each neighborhood there are 6-7 category of restaurants viz. Buffet, Cafes, Delivery, Desserts, Dine-out, Drinks & nightlife, Pubs and bars. Phase I, In Phase I of extraction only the URL, name and address of the restaurant were extracted which were visible on the front page. The URl's for each of the restaurants on the zomato were recorded in the csv file so that later the data can be extracted individually for each restaurant. This made the extraction process easier and reduced the extra load on my machine. The data for each neighborhood and each category can be found here Phase II, In Phase II the recorded data for each restaurant and each category was read and data for each restaurant was scraped individually. 15 variables were scraped in this phase. For each of the neighborhood and for each category their onlineorder, booktable, rate, votes, phone, location, resttype, dishliked, cuisines, approxcost(for two people), reviewslist, menu_item was extracted. See section 5 for more details about the variables. Acknowledgements The data scraped was entirely for educational purposes only. Note that I don’t claim any copyright for the data. All copyrights for the data is owned by Zomato Media Pvt. Ltd.. Source: Kaggle

App appearance switcher like Zomato

A progressive web app that uses Geolocation Web API and Zomato API to find sushi restaurants near you

This repository is a full-stack food delivery application inspired by Zomato. It includes a React.js frontend and integrates DevSecOps practices to ensure a secure and automated deployment pipeline.

Get the total amount of money you have spent on Zomato app/website

:hamburger: A restaurant finder app built with Vue.js, Zomato API and Google Map API

A crude Django web app that finds places for you to eat nearby using the Zomato API

A Flask web app using mysql-connector-python to connect frontend with a MySQL backend. Supports order placement, data storage, and retrieval, enabling Zomato-style workflows. Demonstrates full-stack integration where frontend sends data, Flask processes it, and MySQL powers storage and analysis.

This API is built using django rest framework and has all the features (Vendor and Customer) of a food delivery app, say Zomato.

This is a complete food delivery app like zomato in spring boot

Food Ordering App Backend | Zomato App Backend | REST API Endpoints | Spring Boot | MVC | Upgrad Assignment

This repository contains a low-level system design of a Zomato-like food delivery application implemented in C++. It demonstrates the use of Object-Oriented Programming (OOP) and Design Patterns to build scalable, modular, and maintainable software architecture.

Food app like zomato using html, CSS & Js

Zomato UI Clone using Flutter

A #SwiftUI Project that attempts to clone the popular food ordering app Zomato. Making an app with SwiftUI requires essentially one codebase for iPhones, iPads and the Mac.

It is a clone of famous food delivery app zomato. In this app the users can see different restaurants and can order food from their favorite restaurant

"Food Runner”, inspired by Zomato, revolutionizes the food delivery experience. Developed using The app offers a user-friendly interface for browsing restaurants, placing orders, and tracking deliveries in real-time. Additionally, it incorporates OTP generation for password recovery, ensuring security and convenience for users.

Zomato clone app source code is a fully realized and customizable food delivery application that can be used to set up your own order/delivery management system. Visit Zomato Clone App product page for more information.

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this repository is basically a clone of zomato which is a food order app. It is built using Reactjs(frontend) and node express(backend)

It is a UI clone of zomato app along with implementations of several features like search bar, tabbar, etc.

This is a Full Stack Zomato Web App Clone. status: Under Development

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Zomato is an Indian multinational restaurant aggregator and food delivery company. I have made an effort to mirror the design of the original app exactly.

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