A fully functional and white label food delivery solution. Capable of building your own food delivery application! Includes customer, rider and restaurant apps.

Enterprise 5-Part Super App Mono-repo (Ionic 8, Angular 18, Capacitor 6, Firebase). Includes Rider App, Driver App, Multi-Vendor Restaurant Panel, B2B Web Dispatcher, and Super Admin Dashboard. Production-ready architecture for Ride-hailing and Food Delivery startups.

Delivery Boy Flutter App + PHP Laravel Admin Panel, Mobile app solution using a flutter framework created by Google is open-source mobile application development. It is used to develop applications for Android and iOS, as well as being the primary method of creating applications Our solution uses Laravel (PHP Framework for Web Artisans). Laravel is a web application framework with an expressive, elegant syntax. We’ve already laid the foundation — freeing you to create without sweating the small things. Here are the Flutter App Features: - Grocery, Food, Pharmacy, Store Management System - Google Maps for showing restaurants on the maps with direction to them - Entities & Models are ready to use. - Clean & organized Dart Language code using MVC Pattern - Easy to restyle and theming by on your branding sites. - Working fine with bright and dark mode. - Awesome animations are ready to use: Hero Animations, Parallax Animations, Sliding & Swiping animations - Working really well on both iOS and Android with support with 60 frames per second (fps). - Cash on delivery and payment on pickup methods - Support RTL languages (Arabic, Farisi…) - Push notification using FCM (Firebase Cloud Messaging) - Login - Register - Orders - Notifications - User Profile - Orders History - App Settings - App Languages - Help & Supports - Account Settings

Restaurant/Food Delivery App UI kit in Flutter

🍽️ Yandex Eats Clone built with Flutter. A fully-featured food delivery app replicating Yandex Eats UI/UX and functionality, including restaurant browsing, menu selections, order tracking, and more!

An AR App for Restaurants and Food Delivery ✨✨

[In Development] A food delivery app for iOS that brings delicious food from your favourite local restaurant right to your door. Credit card payment with Stripe.

Using Firebase, It's a Real-Time food delivery App where user can order food from different restaurants menu

Multi-restaurants food delivery app with a complete dashboard. This is a complete end-to-end solution for launching your own food delivery app. It includes an end user app from which the end users can place an order for food and it includes an admin panel for restaurant owners to accept or manage orders and improve their restaurant business. This solution is ideal for anyone who wants to start a food delivery app business.

Android food delivery (Customer, Restaurant and Rider) APP

🏩 Django 🏪 Food 🕍 App 🕌 is a 🏰 full 🏤 featured 🏦 food 🏡 ordering 🚂 application 🚃 built 🏜 with 🚞 Django ✈ designed 🛩 to 🛫 simulate 🚁 a ⛴ real 🚟 world 🚠 restaurant 🚢 delivery 🚝 system 🧸 It ⛸ provides ⚽ functionality ⚾ from 🥎 menu 🏀 browsing 🏐 to 🎳 order 🎮 checkout 🎩 with 🔋 a clean 📘 UI 📗 backend 📙 scalable 📕 architectur

# **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

Most Advance online restaurant menu, food delivery system, online restaurant menu, free online restaurant menu, free online restaurant menu app, online restaurant menu service provider

Kinara E-Restaurant is restaurant management system in PHP alongwith Android App. Using this system user can order food , reserve room. User can leave his/her reviews about foods and service as well. There is a Recommender system to recommend foods. User can Track the location of delivery boy using android app.

Restaurant Applebee | Food Delivery Mobile App with NodeJS Backend.

Its a CMS developed by codeigniter/Javascript/Jquery framework. Its a part of a food delivery system Android app. Client,Restaurant,Comapny, delivery boys and reporting can be created and managed by this cms. And the delivery process based on geolocation are done by Android App.

A food delivery service app for a restaurant

A food delivery app lets users easily order food from local restaurants, make secure payments, and track orders in real time. Core features include menu browsing, GPS order tracking, multiple payment options, and notifications for timely updates. It streamlines food ordering for users and restaurants, making the process fast and convenient.

An online food delivery app project involves creating a user-friendly app for ordering food from various restaurants, including features like menu browsing, order placement, tracking, payment integration, and admin management. It aims to provide convenient and efficient food delivery services to customers.

Welcome to the Food Delivery App! This app allows users to order food from their favorite restaurants and have it delivered to their doorstep. It includes all the basic features of a food delivery app, built using React Native, Django, Firebase, and SQLite3.

A Django built web app where users can login to a restaurants website and order food and add to cart for either delivery or pickup from restaurant.

iMeals is a Open Source Food Delivery and Restaurant Management App

Android app - provide a platform where restaurants are able to offer food delivery and users are able to place orders.

Flash Food is a Flutter food delivery app that allows users to order food from a variety of local restaurants. The app is designed to be easy to use and user-friendly.

Restaurant of The Future Abstract-: Changing the tradition of human waiters, the bot delivers delicious food to you. The project uses mobile app to order the food and a mechanical bot to deliver the cokked food to the consumer. Team Members-: 1)Sanjay Kumar 2)Kundan Kumar 3)Aman Verma 4)Sagar Pant 5)Shubham Chitransh 5)Harshit Bansal 6)Karan Shrivastav Mentors-: Prashant Pulkit Goyal Applications-: The bot may be used to completely transform the future of restaurants. It may be used as the perfect replacement for the waitors to deliver the food ordered by the customer . Other applications include delivery of goods from malls and other nearby stores. Pre-Requisites-: 1)Arduino (Uno / Mega or any other aduino board) 2)2 Servo Motors(..... ) 3)2 Wheels 4)1 Caster Wheel 5)2 Motor Drives(L298N) 6)2 Encoders / Proximity sesnors 7)Bluetooth Module(HC-05) 8)Jumper Wires 9)Breadboard 10)12V battery Software Used- !)Arduino 2)Android Studio Electronic Design -: Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, - and turn it into an output - activating a motor, turning on an LED. You can tell your board what to do by sending a set of instructions to the microcontroller on the board. To do so you use the Arduino programming language (based on Wiring), and the Arduino Software (IDE), based on Processing. We used Arduino Mega Board -: The Arduino Mega is a microcontroller board based on the ATmega1280 (datasheet). It has 54 digital input/output pins (of which 14 can be used as PWM outputs), 16 analog inputs, 4 UARTs (hardware serial ports), a 16 MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started. The Mega is compatible with most shields designed for the Arduino Duemilanove or Diecimila. Otical Encoder-: An optical encoder is a type of rotary encoder that uses a sensor to identify position change as light passes through a patterned encoder wheel or disk. There are four components in an optical shaft encoder: A light source (an LED light) A sensor A moveable disk A fixed mask The LED shines through one side of the optical shaft encoder. The encoder wheel or disk has a series of tracks on it, similar to the concentric grooves in an LP. The mask has a corresponding track for every track on the disk of the optical encoder, and small perforations, called windows, are cut along the tracks in the mask. As the disk moves, different windows in the mask are covered or open, showing the movement and position of the optical shaft encoder. Each arc in the rotation indicates a different position and has a different pattern of open/closed windows. The sensor behind the mask identifies the optical encoders’ current pattern. Motor Drives-: An H-Bridge is a circuit that can drive a current in either polarity and be controlled by *Pulse Width Modulation (PWM). Pulse Width Modulation is a means in controlling the duration of an electronic pulse. In motors try to imagine the brush as a water wheel and electrons as a the flowing droplets of water. The voltage would be the water flowing over the wheel at a constant rate, the more water flowing the higher the voltage. Motors are rated at certain voltages and can be damaged if the voltage is applied to heavily or if it is dropped quickly to slow the motor down. Thus PWM. Take the water wheel analogy and think of the water hitting it in pulses but at a constant flow. The longer the pulses the faster the wheel will turn, the shorter the pulses, the slower the water wheel will turn. Motors will last much longer and be more reliable if controlled through PWM. Working -: The Bot is a signal receiver cum delivery bot that may be used in a restaurant to take the order from the customer and deliver the ordered itmes to cutomers. This is done by the use of an app built using android studio. The app may be placed on each table of a restaurant and the customers may use it for ordering food. The bot uses a bluetooth module to recieve the signal and gets to know about the table to which it is supposed to move. Then it makes use of the code on the microcontroller and moves to the table which has ordered the food and delivers it to the customer by sliding the upper plate using a gear driven by the motor. The error reduction in motion is done through pid tuning of the bot. The bot moves to the table position which is fixed and delivers the food.

Foodu is a Flutter-based food delivery app created for learning purposes. It features Explore a variety of food and restaurants. The app is built using Clean Architecture and , uses Use Cases , Dio and Get state mangement to manage the application state .

Online ordering and delivery systems provide a clear sales channel for restaurants. Customers browse menu items, select what to order, place their orders and make payment through the restaurant app or website. Upon receiving the order, the restaurant prepares the food and delivers it to the specified customer location.

Reach new customers in minna and increase your sales with fastest-growing delivery network Using easyOrder4U Android app, customers can order for sale items, food items, drinks & beverages online from shops, business owners and restaurants near & around you.

This is a web-based food delivery application built using the MERN (MongoDB, Express.js, React, Node.js) stack. The app allows users to browse nearby restaurants, place orders, create user profiles, and make secure payments.

Food delivery app :fries: that allows users to order food from different restaurants. The project is built using a microservice architecture. :boom: