Create digital menus effortlessly with this restaurant menu generator. Built on the T3 stack (Next.js pages router, Prisma, PlanetScale, TRCP, NextAuth) for seamless functionality

# **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

Elegant restaurant menu made with Next(Pages Router), CSS modules, Antd and Motion One

:page_with_curl: A Fully-functional Restaurant Menu Flutter App - Yummify (MVVM Clean Architecture + Stacked + Stacked Services + Stacked Hooks + Json API)

A web application that serves restaurants' needs from handling reservations and online food orders. Written in HTML, CSS, JavaScript, jQuery and PHP. The system can handle: - Making, rescheduling and deleting a reservation - Order food online and the admin can: - View all reservations - Add, update and delete items in the food menu - Create and update user type permissions as an example, he can create a new type for his employee and set what pages they can access - Request report for statistics for a period of time

King of Spices is a responsive restaurant website made with HTML, CSS and JavaScript. It has menu, about us page & reservation page.

no touch restaurant menu template hosted on GitHub Pages

no touch restaurant menu template hosted on GitHub Pages

React Restaurant Jannat Menu Page

EatNow Restaurant Website • Built with React-Vite, CSS, and JavaScript • Responsive design, Single page, animated hero slider, reservation form, interactive menu showcase, and much more.

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TastyBites TastyBites is a responsive restaurant website featuring a dynamic home page, interactive menu, popular dishes section, and user-friendly navigation. Built with HTML5, CSS3, and Font Awesome for modern styling and functionality. Perfect for showcasing your culinary offerings online.

Making a restaurant menu page that filters through the different food menus.

a web portal for a thai restaurant with splash info page and react powered interactive menu

Grilli - Restaurant Website- a responsive restaurant website template built using HTML, CSS, and JavaScript. It features a modern design with interactive elements, a hero slider, a menu card page, and an about us section. Showcase your restaurant's offerings and create an engaging online presenc

This is a one-page restaurant website with an interactive menu. It was built using vanilla JavaScript

Carefully crafted Webflow theme for cafe and restaurants. This simple yet powerful Codeigniter IDE comes a variety of menu pages, blog functionality, booking and contact forms and many other useful components.

A restaurant homepage built using JavaScript alone to generate its entire content by using DOM manipulation. Users can view the menu and the contacts pages by clicking on the relevant links.

A bare-bones website for a restaurant with homepage, menu page and contact page created by using Javascript (ES6).

This restaurant mock-page is dynamically rendered entirely with JavaScript, using Webpack. In this site, you can find the home page, a menu page, an about us page and a page with the location of different branches of the restaurant worldwide.

EatBite is a restaurant page with all menu for breakfast, lunch, and dinner built with Javascript DOM and wepback.

I base this project on the practice for DOM manipulation with JavaScript and Webpack. This project is a landing page for a restaurant where you can visit and see the menu that is available on the restaurant, also you can see a map where the restaurant is located.

Restaurant JS is a JavaScript project that contains three simple pages: home page, menu page & contact page. The main goal of this project is for the student to show the understanding of the benefits of modularized code as well as the ability to set up a javascript application made of different modules using webpack.

A web page to crawl and display menus of restaurants near Alpen-Adria-Universität Klagenfurt.

A one-page restaurant menu app developed by using Bootstrap and bundled with webpack.

It's a restaurant project made with Javascript as a whole as a single-page application. It has Home, Menu, and Contact pages.

Created a Restaurant Website using HTML, CSS and JS. This is a Simple Restaurant Website with a main home page, types of food available, a food menu, customer reviews, and a contact form section on the restaurant website.

FlavorFiesta Food Ordering App is a React-based single-page application (SPA) designed for seamless browsing of restaurant menus, food item searches, and dynamic shopping cart management. Built with modern web practices, it combines functional and class-based components, Redux for state management, React Router for navigation, and Tailwind CSS