Chat Application Using React, Node.js and Socket.io with MongoDB
-
Updated
May 16, 2024 - JavaScript
Chat Application Using React, Node.js and Socket.io with MongoDB
Source code for the Fullstack JavaScript book
腾讯云开发云原生一体化部署工具 🚀 CloudBase Framework:一键部署,不限框架语言,云端一体化开发,基于Serverless 架构。A front-end and back-end integrated deployment tool. One-click deploy to serverless architecture. https://docs.cloudbase.net/framework/index
Full-Stack Instgram Clone using MERN Stack and Socket.io
🌈 Simple Fullstack GraphQL Application. API built with Express + GraphQL + Sequelize (supports MySQL, Postgres, Sqlite and MSSQL). WebApp built with React + Redux to access the API. Written in ES6 using Babel + Webpack.
Coronavirus - (COVID-19) Full Stack Application
ThisMyPC provides a neat web interface that can be used for browsing your desktop drives from any device in your browser itself. With the help of NodeJs, the file details are displayed in JSON format that can then we easily displayed in web browsers.
Software agency full-stack website MERN project, where you will have all kinds of features eCommerce, blog,business
🚀A Modern, Production-Ready, and Full-Stack Node Web Framework with React
Interview preparation and practice problems
This is a clone of popular e-commmerce website Amazon. I have created it with React in frontend, Node and Express for backend and MongoDB for storing data. Check out Readme.md for more details.
My Portfolio | Full Stack MERN Application
Learning Management System (LMS) built with React, Node.js and mongoDB
Full Stack Food Delivery App
📱 Edgy: Welcome to the Edgy Social Media Marketing Agency's full stack website! At Edgy, we're not just a business; we're your partners in navigating the dynamic landscape of Instagram marketing. Whether you're a budding influencer or a business looking to boost your brand's online visibility, we're here to help you stand out in the digital crowd.
Online quiz application made with MERN-stack.
A MERN stack e-commerce website.
A full-stack app for playing multiplayer Rummy.
mini project delivery cost app uses Rajaongkir Api using MERN + Redux
This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tenso…
Add a description, image, and links to the fullstack-javascript topic page so that developers can more easily learn about it.
To associate your repository with the fullstack-javascript topic, visit your repo's landing page and select "manage topics."