In this project, we explore how to create a modern AI-powered dashboard using Next.js 14, TypeScript, and real-time data streaming. This comprehensive build showcases modern web development practices and AI integration.

Tech Stack

• Frontend: Next.js 14, React 18, TypeScript
• Styling: Tailwind CSS, Shadcn/UI
• Database: PostgreSQL, Prisma ORM
• AI/ML: OpenAI API, Langchain
• Real-time: WebSockets, Server-Sent Events
• Deployment: Vercel, Docker

Key Features

1. Real-time Data Visualization

Implementing live charts and metrics using Chart.js and WebSocket connections for instant updates.

2. AI-Powered Insights

Integrating OpenAI GPT models to provide intelligent analysis and recommendations based on dashboard data.

3. Responsive Design

Building mobile-first with Tailwind CSS and ensuring perfect UX across all devices.

Implementation Highlights

// Real-time data hook
const useRealTimeData = (endpoint: string) => {
  const [data, setData] = useState(null);
  
  useEffect(() => {
    const ws = new WebSocket(endpoint);
    ws.onmessage = (event) => setData(JSON.parse(event.data));
    return () => ws.close();
  }, [endpoint]);
  
  return data;
};

Lessons Learned

• Server-side rendering with dynamic data requires careful caching strategies
• WebSocket connection management is crucial for user experience
• AI response time optimization significantly impacts dashboard usability

Project Status: ✅ Completed | Demo: Live Dashboard

Building the future, one component at a time. ⚡️