Queue Monitoring System

Overview

The Queue Monitoring System is a web-based solution designed to monitor and analyze queue conditions, crowd density, and occupancy trends.

The system collects queue-related data, stores it in Google Sheets, and presents insights through an interactive dashboard. The project aims to improve crowd management, reduce waiting times, and provide real-time visibility into queue performance.

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Features

• Real-Time Queue Monitoring
• Occupancy Tracking
• Dashboard Analytics
• Data Collection and Visualization
• Cloud-Based Access
• Trend Analysis
• Performance Monitoring
• Reporting and Insights

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Technologies Used

Frontend

• HTML
• CSS
• JavaScript

Data Storage

• Google Sheets

Deployment

• Vercel

Tools

• Google Workspace
• Visual Studio Code

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System Workflow

Queue Data
      ↓
Google Sheets
      ↓
Dashboard Processing
      ↓
Visualization & Analytics

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Live Website

https://queue-monitoring-system.vercel.app/dashboard

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Data Collection Sheet

https://docs.google.com/spreadsheets/d/1SULF6syhELwztXRJF5DzXY4sNT9BfLpLMXSB0Ph2XtQ/edit?usp=sharing

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Dashboard Preview

Data Collection

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Project Files

This repository contains:

• Project Report
• Dashboard Screenshots
• Data Collection Reference
• Website Documentation

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Key Highlights

• Developed a dashboard for monitoring queue conditions.
• Implemented data collection using Google Sheets.
• Created visual analytics for occupancy and crowd trends.
• Enabled real-time access to queue information.
• Improved visibility of crowd and queue performance through data visualization.

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Future Improvements

• IoT Sensor Integration
• Automated Crowd Detection
• Mobile Application Support
• AI-Based Queue Prediction
• Real-Time Notifications

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Author

Samarth Ravi Y

B.Tech – Computer Science Engineering (IoT)

Jain (Deemed-to-be) University

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License

This project is created for educational and academic purposes.