๐ 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.
๐ก Problem Statement
In large venues:
- People donโt 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
๐ง 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
๐ Architecture Overview
๐น Frontend
- Built using React (Vite)
- Clean UI with real-time updates
- Separate dashboards for Admin and Attendee
๐น Backend
- Built using Node.js (Express)
- Serves the frontend and handles routing
๐น AI Layer (Simulated)
- LSTM-based prediction (simulated data)
- Predicts crowd density trends
๐น Cloud Deployment
- Deployed on Google Cloud Run
- Fully serverless and scalable
โ๏ธ Key Features
- ๐ Live crowd density dashboard
- ๐ฎ AI-based congestion prediction
- ๐งญ Smart route recommendations
- ๐ฅ Dual interface (Admin & Attendee)
๐ Tech Stack
- Frontend: React, Vite
- Backend: Node.js, Express
- Cloud: Google Cloud Run
- Visualization: Recharts
๐ง 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
๐ What I Learned
- Building scalable web applications
- Deploying apps on cloud platforms
- Understanding real-time system design
- Importance of clean UI/UX
** Live Project**
๐ Live Demo: https://promptwar-754712756703.us-central1.run.app
๐ป GitHub: https://github.com/Pushpendra1798/flowops-ai-crowd-management
๐ฏ 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.
** ๐ฌ Letโs Connect **
If you're working on similar ideas or interested in AI + Cloud projects, feel free to connect!
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