Footfall Analysis of Mahakumbh Mela Sample data

An interactive data visualization dashboard designed to analyze and manage the massive logistical scale of the MahaKumbh Mela 2025 in Prayagraj.

Project Overview

This project transforms complex pilgrimage data into actionable insights. It tracks footfall patterns, demographic distributions, and essential services to aid in crowd management and resource allocation during one of the world's largest religious gatherings.

Key Insights & Features

• Crowd Analytics: Monitors daily footfall (Avg: 1.83M) and identifies peak "Ghat" preferences (Ram Ghat & Sangam Ghat).
• Demographic Breakdown: Visualizes age decomposition and gender distribution over the event duration.
• Logistics Tracking: Real-time monitoring of accommodation usage (89% avg), meals served, and daily waste collection.
• Safety & Welfare: Weekly tracking of medical emergencies and security incidents to optimize response times.
• Environmental Impact: Correlation analysis between weather conditions (Foggy, Rainy, Sunny) and pilgrim movement.

Tools Used

• Data Processing: CSV
• Visualization: Power BI
• Analysis: Trend mapping and demographic segmentation

Data Structure

The analysis is based on daily logs including:

• Total Footfall & Peak Hours
• Foreign Tourist %
• Security/Medical Incidents
• Weather Conditions

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Creator

Saptarshi Bandyopadhyay | Data Analyst