QueueLess is a web-based queue management platform that lets customers track their queue position in real time — without standing in line. Users can monitor their number remotely, receive automated notifications when their turn is near, and return to the counter only when needed.
Long waiting times and inefficient queue handling remain persistent challenges in service-oriented establishments such as banks, government offices, hospitals, and utility providers. Traditional queuing forces customers to wait physically in line with no visibility into how long they actually have left — leading to overcrowding, frustration, and poor service experiences.
QueueLess digitizes this process entirely. Customers get a queue number, leave freely, and are notified automatically when they are a few spots away from being served.
- Real-time queue tracking — live position updates, no refresh required
- Now Serving display — always know which number is currently being called
- Automated notifications — browser push alerts when your turn is approaching
- Remote monitoring — track from anywhere on any device
- Session persistence — active queue sessions are saved across page reloads
- Institution browser — searchable and filterable list of participating establishments
- Live queue statistics — serving number, people in queue, and estimated wait time per institution
- Done screen with rating — session summary and experience feedback after being served
1. Browse and select an institution (bank, government office, utility provider)
2. Pick up a physical ticket at the counter
3. Enter your ticket number into QueueLess
4. Leave — grab food, run errands, or simply sit elsewhere
5. Receive a notification when you are a few spots away
6. Return just in time to be served
No more standing in line for the entirety of your wait.
| Layer | Technology |
|---|---|
| Frontend | TypeScript, React, Vite, Tailwind CSS |
| Backend | Django (REST API) |
| Real-time | Polling via fetch (10s interval) |
| Notifications | Web Push API (browser notifications) |
| Deployment | Vercel (frontend) |
| Analytics | Vercel Analytics + Speed Insights |
- Banks and financial institutions
- Government offices and public service centers
- Hospitals and clinics
- Utility service providers
- Any establishment with structured walk-in queuing
| Name | Role |
|---|---|
| Glenn Mark R. Anino | Frontend Developer |
| Den Jester B. Antonio | Frontend Developer |
| John Cyril G. Espina | Backend Developer |
| Sophia Marie M. Flores | UI/UX Designer |
| John Jaybird L. Casia | UI/UX Designer |
This project is developed for educational purposes only.