Python

Kinesis Prototype

Kinesis is an AI-driven system that predicts and manages crowd behavior in real time using simulation, biometrics, and natural language control.

Kinesis Prototype preview
Primary language Python
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Created 18 Apr 2026
Last updated 18 Apr 2026
License None specified
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PythonStreamlitNumPyMatplotlibSciPy
  • Python100%
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Summary

A Streamlit prototype for exploring crowd-behavior scenarios through simulation and data-driven scoring. See the repository README for the exact inputs and limitations.

Key features · from README
  • Real-time crowd simulation (agent-based)
  • AI risk detection (density + velocity + panic)
  • Biometric zone monitoring (heart rate simulation)
  • GenAI Command Interface (natural language control)
  • AI ON/OFF comparison (baseline vs optimized)
  • Live visualization (heatmap, flow, predictions)

From README.md in the repository.

Overview

Kinesis is an AI-driven system that simulates and manages crowd behavior in large-scale stadium environments using real-time data, predictive modeling, and intelligent intervention.

Features

  • Real-time crowd simulation (agent-based)
  • AI risk detection (density + velocity + panic)
  • Biometric zone monitoring (heart rate simulation)
  • GenAI Command Interface (natural language control)
  • AI ON/OFF comparison (baseline vs optimized)
  • Live visualization (heatmap, flow, predictions)

Tech Stack

  • Python
  • Streamlit
  • NumPy
  • Matplotlib

How to Run

pip install -r requirements.txt
streamlit run main.py

Resources

Repository Original README Issues

GitHub data synced 25 Oct 2026