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SurakshaSetu – Intelligent Crowd Safety Management

Overview

SurakshaSetu is a web-based crowd management platform designed to ensure safety during festivals, cultural events, and public gatherings. It leverages real-time monitoring, AI insights, and smart communication to prevent overcrowding, reduce risks, and enhance the visitor experience.


Demonstration Video

Click here to view Prototype Demo


Problem Statement

Every year, millions of people attend festivals and events across India and abroad. While celebrations bring joy, overcrowding often turns dangerous:

  • ⚠️ Stampedes caused by uncontrolled crowd flow.
  • 🕒 Long queues and congestion near entry/exit points.
  • 🚑 Delays in emergency response due to lack of real-time updates.
  • 😨 Panic spreading due to unmonitored crowd density.

These incidents not only endanger lives but also strain police, organizers, and government authorities, highlighting the urgent need for a smart, tech-driven solution.


Solution – SurakshaSetu

SurakshaSetu provides a proactive safety layer during large gatherings with:

  • Real-Time Crowd Monitoring – Displays crowd density levels (Low, Medium, High, Critical).
  • Live Crowd Statistics – Instant insights for organizers and visitors.
  • Safe Route Suggestions – Guides visitors to less congested areas in real-time.
  • Emergency Support – Faster evacuation & direct alerts to authorities.

With a cool, user-friendly interface, SurakshaSetu works seamlessly for visitors, organizers, and government authorities.


Screenshots

Login Page

Login Page

Live Crowd Map

Live Map Heatmap

Alerts & Notifications

Alerts

Automated Route Planning

Auto Route

Manual Route Planner

Manual Route

Pandal List with Crowd Levels

Pandal List

Live Camera Crowd Count

screencapture-localhost-5174-2025-09-15-23_32_23

Fire Detection Demo

Watch Fire Detection Demo


Tech Stack (Prototype)

Layer Technology Used Purpose
Frontend React.js + Tailwind CSS Responsive, user-friendly UI
Backend Node.js + Express API handling & real-time updates
Database MongoDB Stores crowd and event data
AI/ML Python + OpenCV (future scope) Detects density & anomalies from cameras
Cloud AWS / GCP Scalable & reliable deployment

Getting Started

Prerequisites

Installation

git clone <repository-url>
cd smart_crowd_detection_and_navigation_system
npm install   # or yarn install

Running the App

npm start     # or yarn start

Then open http://localhost:3000. The app will display Coders Smart Crowd Management.


Project Structure

  • src/components → Reusable UI components.
  • src/assets → Static files (images, styles).
  • src/pages → Main app pages.

How It Works

For Visitors

  1. Log in to the app.
  2. View live crowd density map.
  3. Get safe route suggestions for pandal hopping or event navigation.
  4. Receive alerts if an area is overcrowded or unsafe.

For Organizers & Authorities

  1. Monitor live heatmaps & crowd stats.
  2. Get instant alerts for abnormal crowding or fights.
  3. Use emergency tools to guide evacuation or reroute traffic.
  4. Ensure public safety with data-driven decisions.

Impact & Government Relevance

SurakshaSetu ensures:

  • 🛡️ Life safety by preventing stampedes and panic.

  • 👮 Operational relief for police and organizers through automation.

  • 🎉 Better visitor experience with smooth navigation and real-time info.

  • 🏛️ Government adoption as a smart city/public safety tool for major events like:

    • Durga Puja (Kolkata)
    • Ganesh Chaturthi (Maharashtra)
    • Rath Yatra (Odisha)
    • Kumbh Mela (Uttar Pradesh & Uttarakhand)

Vision

SurakshaSetu aims to be the go-to safety solution for festivals and public gatherings—ensuring celebrations are remembered for joy, not tragedies.


Contributing

Contributions are welcome! Fork the repo, make improvements, and submit a pull request.


License

Licensed under the MIT License.


About

SurakshaSetu is an AI-powered crowd safety and smart event management platform built for festivals, religious gatherings, and large public events. It provides real-time crowd density monitoring, live heatmaps, congestion alerts, intelligent route guidance, emergency response support, and analytics to help organizers and authorities prevent stampede

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