Organizer Dashboard – Analytics Module Suite

Team

E/21/126, Epitakaduwa E.K.G.D., e21126@eng.pdn.ac.lk
E/21/253, Manabandu J.P.G.T.R., e21253@eng.pdn.ac.lk
E/21/055, Bandara K.N.K.L.N., e21055@eng.pdn.ac.lk
E/21/410, Thilakarathne L.R.O.S., e21410@eng.pdn.ac.lk

Supervisor

Ms. Yasodha Vimukthi, yasodhav@eng.pdn.ac.lk

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Table of Contents

• Links
• Introduction
• System Architecture
• Features
• Technology and Implementation

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Introduction

The Organizer Dashboard Analytics Suite provides a complete set of analytical tools for the Exhibition Management System.
It supports visitor insights, movement tracking, feedback analytics, heatmap visualization, and exportable analytical reports used by event organizers to evaluate performance and optimize exhibitions.

This repository includes backend logic for the following four analytics modules:

1. Overview Analytics – Visitor counts, check-ins, dwell time, and building-level insights
2. Heatmap Analytics – Movement patterns, occupancy trends, and activity categories
3. Feedback Analytics – Sentiment insights, event ratings, and satisfaction metrics
4. Export Analytics – PDF/CSV report generation for attendance, movement, security, and event statistics

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System Architecture

Organizer App (Visitors + Events)
        ↓
Supabase / Organizer DB
        ↓
Analytics Backend (Node.js Services)
        ↓
REST API Endpoints
        ↓
Organizer Dashboard Frontend (Charts, Heatmaps & Reports)

Data Sources

• Supabase → Live visitor movement, entries/exits, timestamps
• Organizer Local DB → Event details, categories, locations

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Features

1. Overview Analytics

• Total attendees across all buildings
• Number of check-ins
• Average time spent inside buildings
• Repeat visitor identification
• Top 3 most visited buildings
• Bar chart data for building-wise visitors

2. Heatmap Analytics

• Peak occupancy per building or zone
• Average dwell-time calculation
• Activity level classification (high/medium/low activity)
• Time-based filtering (based on hours)
• Structured heatmap data for visualization

3. Feedback Analytics

• Retrieval of all event feedback
• Sentiment filtering: positive, neutral, negative
• Filtering by building and zone
• Satisfaction rate (4 and 5 star ratings)
• Event ranking based on average rating
• Linking feedback with event metadata

4. Export Analytics

Attendance & Usage Report (PDF / CSV)

• Total visitors per building/zone
• Unique visitors & repeat visits
• Average duration
• Peak entry times
• Time-slot-based attendance charts

Movement & Flow Report (PDF / CSV)

• Entry vs exit trends
• Busiest buildings/zones
• Avg. buildings visited per person
• Movement patterns and traffic flow

Security & Exception Report (PDF)

• Overstays and missing exits
• High-frequency visits
• Zone congestion alerts
• After-hours entries

Event Analytics Report (PDF)

• Number of events & average duration
• Events by category
• Events by location
• Event start-hour distribution

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Technology and Implementation

Backend

• Node.js
• Express.js
• Supabase client
• PostgreSQL
• PDFKit (PDF generation)
• CSV generator
• ChartJSNodeCanvas (Charts for reports)

Frontend (Dashboard)

• React
• Recharts / Chart.js
• Heatmap rendering components

Data Processing

• Time-series aggregation
• Sentiment analysis
• Visitor movement analytics
• Reporting pipeline