Inspiration
What it does
How we built it
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Accomplishments that we're proud o
What's next for SMART CROWD MANAGEMENT SYSTEM
🔷 Project Title Smart Crowd Management System using AI & IoT 🔷 Objective To monitor, analyze, and control crowd density in real-time to improve safety, efficiency, and movement flow. 🔷 Key Features 📷 Real-time crowd detection using cameras 👥 People counting system (AI-based) 📊 Crowd density analysis dashboard 🚨 Overcrowding alerts (SMS/App notification) 🔄 Automatic route suggestion to reduce congestion 🌐 Live monitoring via web/mobile app 🔷 Technologies Used Programming: Python AI/ML: OpenCV, TensorFlow / YOLO (object detection) IoT: Arduino / Raspberry Pi (for sensors) Database: Firebase / MySQL Frontend: HTML, CSS, JavaScript (or React) Backend: Flask / Node.js 🔷 System Architecture Camera captures live video AI model detects and counts people Data sent to server Dashboard displays crowd density Alerts triggered if threshold exceeds
