A modern ChatGPT-style AI assistant built with Next.js 14, OpenAI API, and Material UI.
The app delivers real-time AI conversations through a sleek, responsive UI and server-side rendering for optimal performance.
This project is a web-based AI chatbot that allows users to have natural language conversations powered by OpenAI’s GPT models.
It mimics ChatGPT’s core experience while being lightweight, fast, and easy to deploy.
Built using Next.js 14 (App Router) for scalability, Material UI + TailwindCSS for responsive styling, and the OpenAI Node.js SDK for streaming responses.
The backend API routes handle message processing securely, while the front-end manages conversation state efficiently with React hooks.
The goal is to create a personalizable, production-ready AI assistant for indie developers and learners who want to understand how to integrate LLMs into real apps — without relying on closed-source products.
- ⚡ Real-time chat with OpenAI GPT models
- 🎨 Beautiful Material UI + TailwindCSS hybrid styling
- 🧩 Modular codebase using Next.js App Router
- 💬 Streaming responses via serverless functions
- 🌐 Deployed on Vercel with environment variables
- 🔒 Secure API key management using
.env
# 1. Clone the repository
git clone https://github.com/Keremunce/nextjs-AIChatbot.git
# 2. Navigate into the project
cd nextjs-AIChatbot
# 3. Install dependencies
npm install
# 4. Create your environment file
touch .env.local
# Add your OpenAI API key:
# OPENAI_API_KEY=your_openai_api_key_here
# 5. Run the development server
npm run dev
# 6. Open in your browser
http://localhost:3000| Chat Interface | Streaming Response |
|---|---|
 |
 |
💡 Tip: You can deploy instantly using Vercel by connecting this repo.
- Implementing streaming AI responses in Next.js requires async iteration (
for await ... of) and SSE handling. - Combining Material UI with Tailwind demands careful class management to avoid conflicts.
- Managing environment variables securely across build stages is essential when deploying to Vercel.
- Add chat history persistence using Supabase or MongoDB Atlas
- Integrate voice input/output with Web Speech API
- Implement custom prompt templates and role-based personalities
- Introduce authentication (NextAuth.js) for multi-user chat sessions
Developed by Kerem ÜNCE — Indie app developer & UI-focused engineer.
This project is licensed under the MIT License.
You’re free to use, modify, and distribute it with attribution.