AI-Powered Queue Management System for Public Services.
[cite_start]This project addresses the problem of overcrowding in public sectors (Hospitals, Banks, Govt Offices) by providing an AI-driven digital token system with real-time wait-time prediction. [cite: 5, 10, 168]
- [cite_start]Digital Token Generation: Join queues via App or Kiosk. [cite: 25]
- [cite_start]AI Wait-Time Prediction: Accurate forecasting using historical data. [cite: 26]
- [cite_start]Real-time Notifications: Alerts via Firebase when turn is near. [cite: 27]
- [cite_start]Frontend: Flutter (Mobile App) [cite: 60]
- [cite_start]Backend: Node.js [cite: 61]
- [cite_start]Database: Firebase Real-time Database [cite: 64]
- [cite_start]AI Engine: Python (Predictive Analysis) [cite: 63]
[cite_start]The system uses a Flutter frontend to interact with a Node.js backend, with Firebase handling live notifications and Python scripts managing the wait-time logic. [cite: 81, 92]