Campus Dining Optimization

Smart token system using real student data and class schedules

Ready

📊 Live Lunch Rush Data (12:00-13:00)

12:00

With Tokens 0

Without Tokens 0

Token Price 🟢 1.0x

Efficiency Gain 0%

🪙 Weekly Token System

Tokens This Week

0 used | 10 remaining

📊 Data Analytics & Insights

750 Students • 150 Classes • 288 Swipes

Meal Scan Distribution

Student dining patterns across breakfast, lunch, and dinner periods

Availability Analysis

Peak usage times and capacity utilization patterns

🎯 Key Insights from Real Campus Data

225

Max Students Saved from Queue

12:30

Peak Lunch Rush Time

High-Impact Class Conflicts

67%

Efficiency Improvement

Analysis based on actual student dining patterns, class schedules, and meal swipe data. The AI token system shows significant impact during peak hours, with the highest queue reduction occurring at 12:30 PM when multiple classes end simultaneously.