close

DEV Community

pushpendra shah
pushpendra shah

Posted on

Building FlowOps in Public: An AI-Powered Crowd Management System

๐Ÿš€ Introduction

Managing large crowds in stadiums, events, or public venues is a major challenge. People often face long queues, overcrowded exits, and confusion while navigating.

What if we could use AI and real-time data to guide people efficiently?

To solve this, I built FlowOps โ€“ an AI-powered Crowd Flow Management System during the Hack2Skill Virtual Experience.

๐Ÿ’ก Problem Statement

In large venues:

  • People donโ€™t know which route is less crowded
  • Long waiting times at exits and facilities
  • Lack of real-time coordination

This leads to:

  • Poor user experience
  • Safety risks in high-density areas

๐Ÿง  Solution: FlowOps

FlowOps provides:

  • Real-time crowd monitoring
  • AI-based predictions for congestion
  • Smart navigation suggestions

It helps both:

  • Admins โ†’ monitor and manage crowd
  • Attendees โ†’ find the fastest routes

๐Ÿ— Architecture Overview

๐Ÿ”น Frontend

  • Built using React (Vite)
  • Clean UI with real-time updates
  • Separate dashboards for Admin and Attendee

๐Ÿ”น Backend

  • Built using Node.js (Express)
  • Serves the frontend and handles routing

๐Ÿ”น AI Layer (Simulated)

  • LSTM-based prediction (simulated data)
  • Predicts crowd density trends

๐Ÿ”น Cloud Deployment

  • Deployed on Google Cloud Run
  • Fully serverless and scalable

โš™๏ธ Key Features

  • ๐Ÿ“Š Live crowd density dashboard
  • ๐Ÿ”ฎ AI-based congestion prediction
  • ๐Ÿงญ Smart route recommendations
  • ๐Ÿ‘ฅ Dual interface (Admin & Attendee)

๐Ÿ›  Tech Stack

  • Frontend: React, Vite
  • Backend: Node.js, Express
  • Cloud: Google Cloud Run
  • Visualization: Recharts

๐Ÿšง Challenges Faced

During development, I faced several challenges:

  • Fixing deployment errors on Cloud Run
  • Handling server routing issues
  • Managing build process (Vite + Node integration)

These challenges helped me deeply understand:

  • Cloud deployment workflows
  • Debugging real-world issues
  • Full-stack integration

๐Ÿ“ˆ What I Learned

  • Building scalable web applications
  • Deploying apps on cloud platforms
  • Understanding real-time system design
  • Importance of clean UI/UX

** Live Project**

๐Ÿ”— Live Demo: https://promptwar-754712756703.us-central1.run.app
๐Ÿ’ป GitHub: https://github.com/Pushpendra1798/flowops-ai-crowd-management


๐ŸŽฏ Conclusion

FlowOps demonstrates how AI and cloud technologies can improve real-world crowd management systems.

This project was a great learning experience in building, deploying, and scaling modern web applications.


** ๐Ÿ’ฌ Letโ€™s Connect **
If you're working on similar ideas or interested in AI + Cloud projects, feel free to connect!

Hack2Skill #GoogleCloud #CloudRun #WebDevelopment #AI #BuildInPublic

Top comments (0)