Build & Deploy: Full Stack AI Quiz Platform with NextJS 13, TailwindCSS, OpenAI, Next Auth

Introduction

Introduction

In this article, we will explore the creation of a full-stack AI quiz platform called "Quizi." This platform leverages NextJS 13, TailwindCSS, and the OpenAI API to create an interactive quiz experience. The application features Google authentication, a cloud-based MySQL database, and a responsive UI.

Project Overview

Quizi offers users a unique way to engage with quizzes. Users can sign in using their Google accounts and generate questions powered by OpenAI. The platform will also provide users with insights into their quiz performance, including statistics on accuracy and past attempts.

Technologies Used

• NextJS 13: A React framework for building server-side rendered applications.
• TailwindCSS: A utility-first CSS framework for styling.
• OpenAI API: To generate quiz questions.
• Next Auth: For authentication using Google.
• PlanetScale: A cloud database for storing user and quiz data.
• Prisma: An ORM for managing the database.

Setting Up the Project

1. Initialize the NextJS Project

   Start by creating a new NextJS project with TypeScript.

   npx create-next-app@latest --typescript
   

2. Install Necessary Dependencies

   Install TailwindCSS, Next Auth, Prisma, and other required libraries.

   npm install tailwindcss next-auth prisma @prisma/client axios react-query @types/node @tailwindcss/forms
   

3. Database Configuration

   Configure a PlanetScale MySQL database for your application. Using Prisma, you can define your schema and run migrations to set up the necessary tables.

Building the Application

Authentication

Use Next Auth to implement Google sign-in. Configure Google as a provider for authentication and set up the necessary API routes.

AI Integration

Leverage the OpenAI API to generate questions for quizzes. Implement error handling to ensure only valid JSON responses are processed. The application will request questions from the server when a user initiates a quiz.

Frontend Development

1. UI Design with TailwindCSS

   Utilize TailwindCSS to create responsive and visually appealing components for the quiz platform. Implement a loading spinner to enhance the user experience when questions are being generated.

2. Quiz Functionality

   Build components to handle quiz submissions and render questions dynamically. Depending on the quiz type (multiple-choice or open-ended), the UI will adapt to present relevant questions and options.

Deployment

Deploy the application using Vercel. Connect your GitHub repository to Vercel for seamless deployment and set up your environment variables to ensure the database and API keys are securely configured.

Conclusion

By following this process, we have successfully built and deployed a full-stack quiz platform using cutting-edge technologies. The combination of NextJS, OpenAI, and TailwindCSS brings together the power of AI and an engaging user interface.

Keywords

• NextJS 13
• TailwindCSS
• OpenAI
• Next Auth
• Cloud Database
• Prisma
• Quiz Platform

FAQ

Q: What is the purpose of Quizi?
A: Quizi is a platform that allows users to take AI-generated quizzes using their Google accounts.

Q: What technologies are used in this project?
A: The project uses NextJS for the frontend, TailwindCSS for styling, and OpenAI for generating questions. It also utilizes Next Auth for authentication and PlanetScale for the database.

Q: How does authentication work?
A: Users can sign in using their Google accounts via Next Auth, which manages user sessions securely.

Q: How are quiz questions generated?
A: Quiz questions are generated dynamically using the OpenAI API based on user input and specifications.

Q: Where can I find the source code for this project?
A: The source code for the project is available on GitHub.