Learn how to integrate GPT-5.2 API into a Next.js application to create a dynamic medical quiz app.
Prerequisites
- Node.js v18.0 or higher
- Next.js v13.0 or higher
- OpenAI API key
- Basic knowledge of React and Next.js
What We’re Building
In this tutorial, we will build a medical quiz application using Next.js and the GPT-5.2 API from OpenAI. This application will dynamically generate medical quiz questions and provide real-time feedback to users based on their responses. The application will leverage the latest capabilities of GPT-5.2 to formulate questions and analyze user answers, providing an engaging and educational experience.
The final application will allow users to test their medical knowledge with a variety of questions pulled from a large dataset of medical information. Each interaction with the quiz will involve real-time API calls to generate new questions and validate answers, ensuring a unique experience every time.
Setup and Installation
To get started, we need to set up a new Next.js project and install the necessary dependencies. We will also configure environment variables to securely manage our API key.
npx create-next-app@latest medical-quiz-app --ts
cd medical-quiz-app
npm install openai
Next, we need to set up environment variables to store our OpenAI API key securely. Create a new file named .env.local in the root directory of your project and add your API key like so:
OPENAI_API_KEY=your_openai_api_key_here
Step 1: Setting Up the API Route
In this step, we’ll set up an API route in our Next.js application to handle requests to the GPT-5.2 API. This will be used to fetch quiz questions and validate answers.
import { OpenAI } from 'openai';
const client = new OpenAI(process.env.OPENAI_API_KEY);
export async function POST(request: Request) {
try {
const { question } = await request.json();
const response = await client.chat.completions.create({
model: "gpt-5.2",
messages: [{ role: "system", content: "You are a medical quiz generator." }, { role: "user", content: question }],
});
return new Response(JSON.stringify({ answer: response.choices[0].message.content }), {
headers: { 'Content-Type': 'application/json' },
});
} catch (error) {
return new Response(JSON.stringify({ error: 'Failed to fetch data from OpenAI' }), {
status: 500,
headers: { 'Content-Type': 'application/json' },
});
}
}
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