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CrowdSynthetic

Name: CrowdSynthetic
Brand: CrowdSynthetic
Rating: 5 (111 reviews)

Predict crowd congestion before it happens

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111 Upvotes

About

CrowdSynthetic is a proof-of-concept simulation for monitoring crowd density and risk in a concert-style layout. It uses a configurable layout (zones, stage, exits) and simulates people moving, building risk, and triggering evacuation logic. The project is a modularized version of an original POC script, preserving features like layout-driven geometry, capacity-based zone risks, trend-based prediction, AI recommendation text, heatmap overlay, custom avatar drawing, EVAC mode logic with a completion freeze-frame, and CSV/JSON logging of metrics. It is an open-source project with an MIT License.

Categories & Tags

Open Source Simulation Games Artificial Intelligence #Minimal #Functional #Clean #Standard GitHub UI #Developer-focused

Color Palette

Background White

#FFFFFF

60%

Text Dark Grey

#24292e

25%

Link Blue

#0969da

10%

Badge Green

#2ea44f

Typography

System Sans-serif

All text (headings, body, navigation)

Design Review

The design of the CrowdSynthetic GitHub page is highly functional and adheres to GitHub's established aesthetic. It's a clean, minimal, and developer-focused interface that prioritizes content and usability over elaborate visual design. The layout is standard for a GitHub repository, making it immediately familiar and easy to navigate for anyone accustomed to the platform. Colors are primarily white for the background, dark grey for text, and blue for links, with a touch of green for badges, contributing to a professional and uncluttered look. The font choice is a standard system sans-serif, ensuring readability across various devices. While not visually striking, the design is effective in presenting the project's information clearly and providing a straightforward user experience for developers looking to understand and utilize the simulation.