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Build a Rest API for an Image Sharing App with Node.js

PROJECT

Build a Rest API for an Image Sharing App with Node.js

In this project, we’ll build a REST API for an image sharing app, using Node.js, Express, and MongoDB. It includes features like user authentication, image uploads, and post management. Additionally, an LLM-powered chatbot is integrated to answer questions about the project using real project documentation.

You will learn to:

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

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

Create a REST API to insert, retrieve, update, and delete records in the database.

Perform CRUD operations on a database.

Implement a chatbot using LLM based retrieval-augmented generation (RAG) to answer queries based on project-specific data.

Skills

API Development

REST API

Large Language Models (LLMs)

Prerequisites

Good understanding of Node.js

Basic understanding of JavaScript

Basic understanding of MongoDB

Technologies

Gemini

Node.js

Express

Javascript

Project Description

An Application Programming Interface (API) allows different software programs to communicate without understanding each other’s internal logic or structure. APIs are widely used to build server-side applications that support various client interfaces, such as web or mobile apps.

In this project, we’ll develop a robust, scalable REST API for an image sharing application. The backend will be built using the Express.js framework in Node.js and interact with a MongoDB database to store and retrieve application data.

The application will include full user authentication and profile management. 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 image and posts.

This project also integrates an LLM-powered chatbot (using the large language model 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 parts of the project documentation.
Provides accurate and context-aware answers using only the embedded project content.

Additionally, the project follows RESTful API design principles and supports secure authentication using JSON Web Tokens. Image uploads can be handled locally.

Project Tasks

Introduction

Task 0: Get Started

Task 1: Start the Application

Create a Rest API Using Node.js

Task 2: Get the API Key

Task 3: Set Up a MongoDB Connection

Task 4: Set Up the Vector Store for AI-Powered Chatbot Responses

Task 5: Create a User Model

Task 6: Create a Post Model

Task 7: Create Authentification Routes

Task 8: Create User Routes

Task 9: Create Post Routes

Task 10 : Create Routes for the Chatbot

Congratulations!

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Pradip Pariyar

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"This was an excellent lesson. I learned a lot working through the process. I enjoyed it so much that I rebuilt it my AWS account to see how hard it would be to deploy to a production environment."

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Vasiliki Nikolaidi

Senior Software Engineer

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Senior Software Engineer

Relevant Courses

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