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
WariMind AI is an AI-powered crowd intelligence and safety platform for large-scale pilgrimages like the Pandharpur Wari. It uses computer vision, crowd-flow analytics, predictive risk scoring, and AI-driven decision support to detect congestion, assess crowd risk, and recommend real-time actions for authorities, volunteers, and pilgrims.
Real-time AI crowd monitoring and disaster management system using YOLOv8, WebSocket, MQTT, and geographic routing. FastAPI backend + React frontend.
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.
Offline friend-finding Android app for crowded events using BLE and WiFi Direct - TU Dublin FYP 2025/26
AI-powered real-time crowd safety and early-warning platform that monitors crowd behavior, evaluates risk levels, predicts dangerous congestion, calculates safe evacuation routes, and delivers emergency alerts to operators and citizens.
A real-time simulation platform for large-scale sporting venues to predict crowd surges, optimize staff dispatch, and minimize fan wait times.
Real-time queue and crowd monitoring dashboard with occupancy analytics and data visualization.
🛡️ Crowd safety and management application
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.
Real-time stadium crowd management platform with attendee navigation, queue monitoring, emergency routing, admin analytics, and FastAPI/React/Firebase 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 AI-powered crowd monitoring and pilgrim navigation platform for the Pandharpur Wari, integrating YOLOv8 computer vision analytics, Supabase real-time sync, dynamic safe routing, and emergency SOS dispatch.
🏟️ GenAI operations layer for FIFA World Cup 2026. Interactive maps, real-time crowd intelligence, 12-language grounded fan assistant, plain-language accessibility simplifier, volunteer/staff copilot, and lowest-carbon navigation routing. Built with Gemini 3.5 Flash.
Computer-vision platform for crowd detection, tracking, future crowd-density prediction, risk assessment, and crowd management using YOLOv5, ByteTrack, and ConvLSTM.
Real-time AI crowd-safety operations desk for the Monaco Grand Prix — live digital twin map, predictive risk scoring, Dijkstra safest-route recommendations, and operator command tools. Built with React + FastAPI.
🏟️ 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.
GenAI-powered stadium companion for FIFA World Cup 2026, featuring AI assistance, smart wayfinding, crowd management, match scheduling, concessions, sustainability, and incident dispatch.
Crowd Control Dashboard uses YOLO for real-time crowd analysis from video uploads, providing insights to assist in crowd management.
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