CrowdSynthetic is an open‑source AI crowd safety simulator that predicts congestion before it becomes dangerous. It visualizes movement, generates real‑time heatmaps, scores zone‑level risk, and triggers automated evacuation logic. Built for concerts, festivals, temples, and stadiums, it helps organizers understand crowd behavior and prevent disasters through simulation and analytics.
Hi everyone! I built CrowdSynthetic because crowd safety is still handled reactively, and I wanted a way to see danger before it forms. This open‑source simulator predicts congestion, visualizes heatmaps, scores risk in real time, and triggers evacuation logic — all running locally with no cloud dependency.
I’d love your feedback, ideas, and thoughts on how this can evolve into a tool that helps organizers keep people safe at concerts, festivals, temples, and stadiums. Thanks for checking it out and supporting the launch!
Interesting idea. But in any concert, there will be many areas with maximum crowding. I think this solution would be more interesting to governments rather than commercial companies.
This can solve a really meaningful problem! Speaking as a visitor rather than an event organizer, I like Google feature to see how crowded a place is before going. Sometimes I even decide not to go if it looks too busy. From a consumer’s point of view, this can be a helpful.
