WaitWise – Intelligent Queue Insight System

WaitWise is a frontend prototype of a queue congestion prediction system designed for ration shops and public distribution centers.

It allows users to:

• Predict crowd levels for specific time slots
• Adjust predictions based on group size
• Identify peak and low traffic periods
• Get best-time-to-visit recommendations

This project focuses on clean architecture, UI/UX refinement, and deployable production readiness.

Live Demo

https://waitwise-omega.vercel.app

Problem Statement

Public service centers often experience unpredictable crowd surges.
Visitors waste time standing in long queues without visibility into congestion levels.

WaitWise aims to provide structured, time-based insights to help users plan visits more efficiently.

Features (v1.0)

• Time-slot based crowd prediction
• Multi-shop simulation model
• Group-size adjusted congestion calculation
• Calm / Average / Crowded status classification
• Best-time recommendation engine
• Smart insights summary panel
• Responsive layout (desktop + mobile)
• Production deployment via Vercel

Tech Stack

Frontend:

• React (Create React App)
• Component-based architecture
• Modular CSS styling

Architecture:

• components/ for reusable UI modules
• utils/ for business logic (crowd status calculation)
• data/ for structured simulation dataset

Deployment:

• Vercel (CI/CD integrated with GitHub)

Project Structure

src/ │ ├── components/ │ ├── Header │ ├── HeroBlock │ ├── StatsGrid │ ├── VisitAdvisor │ ├── InsightsPanel │ ├── InfoCard │ └── SectionContainer │ ├── data/ │ └── crowdData.js │ ├── utils/ │ └── crowdUtils.js │ └── pages/ └── Dashboard.js

src/ │ ├── components/ │ ├── Header │ ├── HeroBlock │ ├── StatsGrid │ ├── VisitAdvisor │ ├── InsightsPanel │ ├── InfoCard │ └── SectionContainer │ ├── data/ │ └── crowdData.js │ ├── utils/ │ └── crowdUtils.js │ └── pages/ └── Dashboard.js

Version

v1.0 – Portfolio Prototype Stable

This version focuses on:

• UI stability
• Core prediction logic
• Structured component architecture
• Clean production deployment

Future Scope (v2)

• Backend integration (Django REST API)
• Real-time crowd tracking
• Authentication and role-based access
• Admin dashboard for shop managers
• ML-based demand forecasting
• Historical analytics visualization

Author

Advait Rathish
B.Tech Computer Science Engineering
Kerala, India

GitHub: https://github.com/advaitrathish
LinkedIn: https://www.linkedin.com/in/advaitrathish/

License

This project is built for portfolio and demonstration purposes.