VCNN4PuDe is a framework for identifying the persons who engage in pushing within videos of crowds

Crowd monitoring and cluster detection system with heatmap using Python & OpenCV

Real-time AI crowd monitoring and disaster management system using YOLOv8, WebSocket, MQTT, and geographic routing. FastAPI backend + React frontend.

Real-time stadium crowd management platform with attendee navigation, queue monitoring, emergency routing, admin analytics, and FastAPI/React/Firebase architecture.

A real-time simulation platform for large-scale sporting venues to predict crowd surges, optimize staff dispatch, and minimize fan wait times.

It is a web portal which shows the traffic of people at various places. It was a complete Software Engineering project which was developed according to the principles and methodologies of software engineering.

CrowdShield is an AI-powered crowd and disaster management system offering real-time zone monitoring, predictive analytics, and dynamic alerting. Designed for public safety and event control, it features a modular dashboard, multilingual support, and scalable frontend architecture.

An AI-based Smart Crowd Management System that detects and monitors crowd density in real-time using YOLOv8, OpenCV, Machine Learning, and Streamlit. The system supports live webcam, image, and video detection with heatmap visualization and overcrowding alerts for efficient crowd monitoring and public safety.

Real-time queue and crowd monitoring dashboard with occupancy analytics and data visualization.

🏟️ ArenaSync AI is a smart venue experience platform for large sporting events that uses 🤖 AI, 📊 real-time crowd insights, and 🧭 navigation tools to reduce waiting times, optimize crowd movement, and enhance attendee experience.

Offline friend-finding Android app for crowded events using BLE and WiFi Direct - TU Dublin FYP 2025/26

Crowd Control Dashboard uses YOLO for real-time crowd analysis from video uploads, providing insights to assist in crowd management.

Smart itinerary optimization system for amusement parks that minimizes wait time using crowd-aware scheduling.

Prototype for real-time crowd monitoring. Detects and counts people via camera using YOLOv8n and OpenCV, with configurable crowd warning threshold and error handling.

🛡️ Crowd safety and management application

AI-powered crowd flow, real-time queue management, and seamless event coordination for large-scale sporting venues.

GenAI-enabled smart stadium operations dashboard for the FIFA World Cup 2026. Features crowd management, multilingual assistance, and real-time operational intelligence.

Predictive analytics system using 26 years of Hajj data to forecast pilgrim volumes, predict safety incidents, and support real-time resource planning decisions. Python · Pandas · Scikit-learn · ARIMA · Streamlit

GenAI-powered stadium intelligence for accessible wayfinding, multilingual fan support, sustainable travel, and real-time match-day operations.

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