This is a code repository for the corresponding video tutorial. In this video, we're going to build a Modern UI/UX Restaurant Landing Page Website

Sub-GHz generators for restaurants/kiosks paging systems compatible with the Flipper Zero.

HTML CSS 10 PRACTICE PROJECT Project that we are going to build in this complete practice course Project 1 - Tribute Website Project 2 - Job Application Project 3 - Parallax Wesbite Project 4 - Landing Page Project 5 - Restaurant Website Project 6 - Music Website Project 7 - Youtube Clone Project 8 - Javascript Documentation Project 9 - Blog Wesbite Project 10 - Portfolio Website

Restaurant Landing Page

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

This is just a simple landing page tutorial repository created with the help of React.

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Your ultimate Flipper Zero restaurant pager tool

A landing page for Bubur Nusantara restaurant builth with Vanilla JS

Restaurant Paging Service based on ESP32 and SX1278 for Long Range Systems, POCSAG or Retekess

# **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)

10-Page Restaurant website.

Paradise Resorts and Restaurant Landing Page

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

Restaurant page created with HTML, CSS and JS.

Design a stunning Restaurant Website Landing Page using HTML & CSS.

Responsive Landing Page Using React 🍕 | Restaurant Website Design

This is a restaurant page developed with JS and webpack, following The Odin Project JS curriculum

Landing page layout for a burger restaurant with beautiful design and little interactivity with JavaScript

A Responsive Landing Page For A Restaurant

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A simple landing page made in HTML and CSS has five anchors. The theme chosen is related to a restaurant in my city. In this project, grid, accessibility, responsive design, mobile, transitions, among others, were addressed.

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

A responsive, modern PHP-Laravel restaurant site with an admin dashboard with a content control system (CURD). It's a Tailwind-styled page and PostCSS plugin used for maximum browser compatibility. Its clean, responsible, and material design will be further improved

A simple restaurant reservation website is written in ASP.NET Core 3.1 with C#. This repository consists of 3 major projects - Razor Page for front-end, Clean Architecture Web API for back-end and Email Service for pushing email.

This is a sample project of creating an E-commerce website that is for a restaurant to deliver its services via online website. It consists of sections like home , categories , special deals , popular dishes , deals , contact ,finally about the restaurant and crew members of the restaurant followed by quick links of the page and social media links of the restaurant .

Premium AK STAR restaurant landing page built with Next.js + Tailwind, statically exported and served by a lightweight FastAPI backend. Responsive, modern UI.

Single page restaurant website