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How to Build a Full Stack AI Powered Blog App using MERN Stack, Google Gemini and ImageKit API

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Overview

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Learn to develop a comprehensive AI-powered blogging platform using the MERN stack (MongoDB, Express.js, React, Node.js) integrated with Google Gemini AI and ImageKit API for image management. Build a complete full-stack application featuring both user-facing blog functionality and an administrative dashboard for content management. Start by setting up the React frontend with a responsive home page and individual blog post pages, then create an admin dashboard for managing posts and comments. Develop the backend server using Express.js and connect it to MongoDB for data persistence. Implement essential APIs for user authentication, blog post creation, image uploads through ImageKit, and CRUD operations for blog management. Add commenting functionality and admin dashboard data retrieval endpoints. Integrate the backend APIs with the frontend application and incorporate Google Gemini AI to automatically generate blog content. Complete the project by deploying the application online using Vercel, creating a fully functional blogging platform with artificial intelligence capabilities for content creation and professional image handling.

Syllabus

00:00 AI Blog AppProject Overview
05:35 Create Basic React App
21:48 Create Home page
01:16:44 Create Blog Page
01:55:21 Create Admin Dashboard
03:29:46 Create Backend Server
03:43:04 Connect Backend with MongoDB
03:54:20 Create Login API
04:06:47 Create API to publish blog post
04:15:12 Upload blog images on ImageKit
04:47:56 Create API for blog list, details, delete and update
05:02:52 Create API for blog comments
05:11:43 Create API for admin dashboard data
05:27:43 Connect Backend APIs with Frontend blog app
06:51:18 Generate blog content using AI
07:14:44 Deploy Blog app online

Taught by

GreatStack

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