cover
dashboard sb10
Check local bank branch data
add check-in sb10

Inspiration

Customers at Vietnamese bank branches face 30+ minute queues during peak hours while nearby branches sit empty. This inefficiency comes from no real-time traffic visibility and no demand prediction. We asked: What if customers could see which branch has the shortest wait? What if branches could predict busy hours and prepare? QueueMind was born — AI-powered solution transforming historical data and real-time check-ins into actionable insights.

What it does

For Customers:

Real-time congestion levels (🟢🟡🔴) across all branches
AI-predicted "Best Time to Visit" (save up to 40% wait time)
Check-in to reserve spot + get estimated wait

For Branch Managers:

24-48h traffic predictions
AI staff optimization recommendations
Real-time queue monitoring + alerts

Key Features:

Traffic Prediction Engine (Qwen AI + 30+ days history)
Smart Queue Management with position tracking
Branch Optimization Dashboard
Mobile-friendly responsive UI

How we built it

Stack: Next.js 16.2.4 (App Router) + React 18 + TypeScript + Tailwind CSS + Qwen AI (DashScope API)

Process:

Built data models + mock data (5 branches, 30 days, ~3,600 records)
API routes for branches, predictions, check-ins
Qwen AI integration with fallback to local algorithms
Responsive UI with real-time visualization
Vercel deployment

Challenges

Next.js 16 Migration — Promise-based params API broke route handlers, fixed by using await params
Windows Path Compatibility — Resolved with latest Next.js version
Type Safety — Careful interface design for dynamic params + complex prediction models
AI Fallback — Robust fallback when Qwen API unavailable