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Build an Image Sharing App with MERN Stack

Free

PROJECT


Build an Image Sharing App with MERN Stack

In this project, we’ll build an image sharing app using Node.js, Express, MongoDB, and React. The app includes features such as user authentication, image uploads, and post management. Additionally, an LLM-powered chatbot is integrated to answer questions about the project using the actual project documentation.

Build an Image Sharing App with MERN Stack

You will learn to:

Use the functional components of React.

Use Redux and React Hooks to develop the application.

Use the Axios library to connect React components to the Node.js server.

Connect the Node.js server to store and retrieve data from MongoDB.

Use MongoDB to store and retrieve data through the Mongoose library.

Use React state management Hooks to share data between functional components.

Skills

Web Development

API Development

Web Frameworks

REST API

Prerequisites

Basic understanding of React components and state

Basic understanding of Node.js

Basic understanding of MongoDB

Basic understanding of JavaScript

Technologies

React

mongodb logo

MongoDB

Node.js

Express

Project Description

In this project, we’ll build an image sharing application with login and registration functionalities. Users can upload and share image posts from their accounts and follow and unfollow other users.

We’ll use Express and Node.js to develop the backend API, which will interact with a MongoDB database to fetch and store data. After setting up the backend, we’ll implement the frontend using React, adding user authentication and image sharing components. The finalized application will retrieve data from MongoDB via the Node.js server and display it using React functional components.

The application will include complete user authentication and profile management features. Users will be able to:

  • Register and log in using their credentials.

  • Manage and update their username, email address, and profile picture.

  • Upload and manage images and posts.

The project integrates an LLM-powered chatbot using Google Gemini to enhance functionality and user engagement. This intelligent assistant:

  • Allows users to ask questions about the project.

  • Uses retrieval-augmented generation (RAG) to fetch relevant portions of the project documentation.

  • Delivers accurate, context-aware answers based solely on the embedded content.

The application UI is styled using prewritten CSS to provide a clean and consistent design.

Project Tasks

1

Introduction

Task 0: Get Started

Task 1: Launch the Development Environment

2

Create a Rest API Using Node.js

Task 2: Get the API Key

Task 3: Set Up the Vector Store for AI-Powered Chatbot Responses

Task 4: Set Up the Node.js Server and MongoDB Connection

Task 5: Create a User Model

Task 6: Create a Post Model

Task 7: Create Register and Login Routes

Task 8: Create User Routes

Task 9: Create Post Routes

Task 10: Create Routes for the Chatbot

3

Develop the Login and Register Pages

Task 11: Create Reducers to Set Up the Initial State

Task 12: Implement the Login Component

Task 13: Implement the Register Component

4

Develop the Chatbot Page

Task 14: Implement the Chatbot Component

5

Develop the Home and Profile Pages

Task 15: Implement the Header Component

Task 16: Implement the NewPost Component

Task 17: Implement the Post Component

Task 18: Implement the UserSearch Component

Task 19: Implement the Body Component

Task 20: Implement the ProfileSection Component

Task 21: Develop the Profile Page

Congratulations!

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