AI-Based Passenger Behavior Analysis and Queue Optimization System for Airports

Design an AI system that monitors passenger behavior, predicts congestion, and suggests queue optimization strategies to enhance airport efficiency.

Collect passenger movement data from cameras or sensors.

Implement AI models to detect bottlenecks and waiting time patterns.

Suggest real-time queue reallocation and counter optimization.

Visualize congestion trends on a management dashboard.

Test system under simulated peak-hour scenarios.

Document methodology, data collection techniques, and AI performance.