AI Crowd management system

Inspiration We were inspired by how crowded places like events and campuses often become unsafe due to delayed responses. We wanted to use AI to make crowd management proactive instead of reactive. What it does It monitors crowd density in real time, detects overcrowding, and alerts authorities to prevent congestion and risks. How we built it We used computer vision and machine learning with Python to analyze video data and estimate crowd density. Challenges Accurate detection in dense crowds and handling real-time processing efficiently were major challenges. Accomplishments We built a working prototype that provides real-time crowd insights and alerts. What we learned We learned practical AI skills, problem-solving, and how to build real-world solutions. What’s next We plan to improve accuracy, scalability, and deploy it in real environments.

Built With

• a
• and-tensorflow-for-ai-and-computer-vision
• dashboard
• for
• opencv
• python
• real-time
• simple
• with