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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.

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

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 logo

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 build a REST API for an image sharing application using Node.js, Express.js, and MongoDB. The backend will support user authentication, profile management, and image posting, allowing users to register, log in, update their profiles with usernames and profile pictures, and share images with the community. We'll implement secure authentication using JSON Web Tokens and follow RESTful API design principles throughout the application.

We'll start by connecting to MongoDB and creating data models for users and posts, then build authentication routes for registration and login with JWT token generation. Next, we'll implement user routes for profile management and post routes for uploading and retrieving images with local file storage. Finally, we'll integrate a Google Gemini-powered chatbot that uses retrieval-augmented generation to answer user questions by searching embedded project documentation and providing context-aware responses.

By the end, we'll have a complete image sharing API demonstrating Node.js backend development, MongoDB integration, JWT authentication, RESTful design, file uploads, and AI-powered features with vector search and RAG implementation.

Project Tasks

1

Introduction

Task 0: Get Started

2

Create a Rest API Using Node.js

Task 1: Get the API Key

Task 2: Set Up a MongoDB Connection

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

Task 4: Create a User Model

Task 5: Create a Post Model

Task 6: Create Authentication Routes

Task 7: Create User Routes

Task 8: Create Post Routes

Task 9 : Create Routes for the Chatbot

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has successfully completed the Guided ProjectBuild a Rest API for an Image Sharing Appwith Node.js

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