Giter Site home page Giter Site logo

adityap700 / foodwebapp Goto Github PK

View Code? Open in Web Editor NEW

This project forked from vgandhi27/foodwebapp

0.0 0.0 0.0 75.75 MB

The main aim of the project is to develop a web-based application that is going to make it possible for the customer to place an order of food by using this app . In this we are also creating food recommendation app and that will substitute the manual system of the placing an order with an automated one.

Home Page: https://goodnessfood.netlify.app/

License: MIT License

JavaScript 89.21% CSS 7.48% HTML 3.32%

foodwebapp's Introduction

Food Ordering WebApp

Website HitCount GitHub forks GitHub stars Github License contributors

Table of Contents

General Info

The project's main aim is to develop a web-based application that will make it possible for the customer to order food using this app.

In this, we are also creating a food recommendation app that will substitute the manual ordering system with an automated one.

There is a separate module where each task that was identified as necessary in order to develop the Food Web App or Food Ordering WebApp successfully is presented and described in detail

  • This project aims to create two interfaces that are Customer, Admin
  • User Interface- Used to create an interface where the Customer can place orders, review etc
  • Admin Interface- Used to create an interface where the Admin can add the food products, modify them, delete the food product
  • It also provides good authentication so that the legitimate user can use this app
  • Backend using MongoDB

At present, only the frontend and Backend of the website have been developed, which consists of the landing page,sign-in and sign-up and profile and cart and product description page.

Features to implement in future:

  • Recommendation System using Unsupervised Learning
  • Payment Gateway to be established.
  • GPS tracking needs to be done.
  • Google,Facebook authentication

Tech Stack Used:

Frontend:

reactjs  react-router  redux  tailwindcss  mui 

Backend:

nodejs  expressjs  mongodb  jwt 

Cloud Storage: Cloudinary

Prerequisite to run the project in your desktop

It is recommended that your laptop should have the following specifications in order to run this project:

  • NodeJs
  • npm
  • Visual Studio Code (or any other IDE)
  • git

Steps to run the project:

  1. Clone the project using the git clone command in terminal
    • git clone https://github.com/VGandhi27/FoodWebApp.git
  2. Open the FoodWebApp folder in Visual Studio Code (or any other IDE)
  3. In the terminal section of the Visual Studio Code run the following command
    • npm i - It will install all the node modules/libraries to run this WebApp
  4. Now run the following command
    • cd server npm start - It will start the server
    • cd client npm start - It will host the project on a local server

Live Project link

https://goodnessfood.netlify.app

📬 Contact

If you want to contact me, you can reach me through the below handles.

  Linkedin Badge  

Show some ❤️ by starring this repository!

foodwebapp's People

Contributors

vgandhi27 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.