This project is an innovative AI-powered chat application built with Next.js and Material-UI. It features a responsive design that works seamlessly across desktop and mobile devices. The application includes:
- A welcoming landing page with a call-to-action to start chatting
- An intelligent chat interface powered by OpenAI's API
- Dynamic message formatting for improved readability
- Light and dark mode toggle for user preference
- Smooth transitions and animations for an engaging user experience
The app demonstrates modern web development practices, including server-side rendering, client-side routing, and responsive design. It's an excellent example of how to create an interactive AI chat application using cutting-edge web technologies.
- Next.js 14 for server-side rendering and routing
- React for building the user interface
- Material-UI (MUI) for responsive design components
- OpenAI API for powering the AI chat functionality
- Vercel Analytics for tracking application usage
- CSS-in-JS styling with MUI's styling solution
- Custom animations using keyframes
- Next.js App Router for advanced routing capabilities
- React Hooks for state management and side effects
This comprehensive tech stack showcases a modern, efficient approach to building a sophisticated AI chat application.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.