Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.

Gallery

Contacts

411 University St, Seattle, USA

engitech@oceanthemes.net

+1 -800-456-478-23

Project Started On:
Jan 03 2025
Category:
Design / Ideas
Client:
Uttar Pradesh Tourism Department – Government of Uttar Pradesh

Project Overview

Mahakumbh 2025 was one of India’s largest religious gatherings, attracting millions of pilgrims from across the country and the world. The Uttar Pradesh Tourism Department required a highly reliable, real-time and large-scale data collection system to understand visitor behaviour, manage crowd patterns, and improve future event planning.

Bee Designs IT Solution was entrusted with building and operating a geo-enabled survey and analytics ecosystem to capture:

  • Visitor Count Data (footfall measurement)
  • Short Visitor Profile Surveys (pilgrim preferences, choices, behaviour patterns)

The biggest challenge was the massive sample size — over 3,00,000+ visitors, collected across multiple zones within a limited timeframe.

We successfully delivered the complete system end-to-end.

Challenges

Mahakumbh’s sheer scale posed multiple operational and technical challenges:

1: Massive Footfall, Limited Time
Survey teams needed to capture visitor data continuously while managing unpredictable crowd flow.

2: Accuracy Required at Government Level
Data had to be reliable, duplication-free, and validated instantly.

3. Mobility Across Multiple Sectors
Surveyors operated across different ghats, routes, tents, and entry points requiring live location capture.

4. High-Volume Storage & Reporting
Storing 3 lakh+ records with lightning-fast retrieval and analytics was essential.

5. Real-Time Monitoring for Officials
Tourism officers needed immediate access to daily, weekly, monthly trends for policy and resource planning.

Our Solution

Bee Designs created a custom high-performance survey application with a central analytics dashboard designed specifically for mega-event data processing.

1. Geo-Enabled Mobile Survey App
  • Real-time GPS lock on every survey submission

  • Auto-check for duplicate entries based on mobile, name, or device

  • Offline mode for locations with low connectivity

  • Super-fast form structure optimized for high crowd scenarios

2. Visitor Count System

Our team deployed a dedicated module to track:

  • Real-time footfall

  • Peak hour patterns

  • Zone-wise crowd distribution

  • Daily visitor trends

3. Short Visitor Profile Module

Pilgrim preference data included:

  • Travel mode

  • Food preferences

  • Stay preferences

  • Activity participation

  • Age group, gender, region, etc.

  • Sentiment indicators

  • Religious engagement insights

4. High-Volume Data Engine

A customized backend database was engineered to handle:

  • 3,00,000+ live records

  • Instant duplicate detection

  • Real-time reporting without downtime

5. Analytics Dashboard for Tourism Officials

A web-based dashboard provided:

  • Day-wise/hour-wise footfall reports

  • Pilgrim behaviour analytics

  • Exportable Excel/PDF reports

  • Trend comparison charts

  • Auto-generated monthly & quarterly reports


Execution Strategy

1. Multi-Team Deployment

Survey operations ran across multiple zones, each equipped with our mobile application.

2. Field Training

We conducted rapid training sessions ensuring all personnel could handle large crowd conditions effectively.

3. Automated Data Sync

Data was synced in real-time whenever network availability returned.

4. Continuous Monitoring

Our backend team provided 24×7 technical supervision to ensure uptime and data integrity.


Key Achievements

✔ 3,00,000+ Verified Visitor Surveys Collected

All with GPS tracking, duplication checks, and validated form entries.

✔ Real-Time Insights During the Event

Officials used our dashboard to make operational decisions on:

  • Crowd movement

  • Traffic control

  • Pilgrim assistance

  • Resource allocation

✔ High-Level Reports Delivered

Monthly and quarterly analytics helped in:

  • Tourism planning

  • Future Kumbh estimations

  • Policy decisions

  • Infrastructure resource assessmen