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akshatbindal/stadiumpulse-ai-2026

Analysis updated 2026-05-18

0JavaScriptAudience · pm founderComplexity · 2/5Setup · easy

TLDR

A simulated stadium operations dashboard and multilingual fan companion app built as a World Cup 2026 concept demo, with no real AI backend.

Mindmap

mindmap
  root((repo))
    What it does
      Command center dashboard
      Fan concierge chat
      Accessible routing
    Tech stack
      JavaScript
      Python server
      SVG map
    Use cases
      Crowd management demo
      Multilingual assistance
    Audience
      PMs and founders
      Hackathon reviewers

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Explore a concept demo for stadium crowd management dashboards

USE CASE 2

See a client side simulated chat concierge with multilingual keyword matching

USE CASE 3

Study an example of accessible, XSS conscious front end design patterns

What is it built with?

JavaScriptHTMLCSSPythonSVG

How does it compare?

akshatbindal/stadiumpulse-ai-202600kaku/gallery-slider-block0xkinno/vellum
Stars00
LanguageJavaScriptJavaScriptJavaScript
Last pushed2021-05-19
MaintenanceDormant
Setup difficultyeasyeasyhard
Complexity2/52/54/5
Audiencepm foundergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Needs Python installed to run the local server script, otherwise no build step.

In plain English

StadiumPulse AI is a demo web application built for a hackathon style challenge around the FIFA World Cup 2026, imagining an operations dashboard and fan companion app for MetLife Stadium in New York and New Jersey. It has two sides: a command center view for stadium staff, and a concierge view for spectators. On the command center side, an operator watches live gate queues and crowd numbers on screen. When an incident is reported, such as an injury or a spill, the app classifies how severe it is, drafts a note for volunteers, writes a localized public announcement, and marks the spot on an interactive map of the stadium. A human still has to approve the plan before it counts as dispatched. On the fan side, spectators can chat with a concierge in one of six languages to ask about things like wheelchair access, quiet sensory rooms, or the bag policy. The app also plots walking directions on the stadium map, adjusting the route for accessibility needs such as swapping escalators for elevators. Importantly, this is not connected to a real AI service. The README explains that all the AI style responses are simulated entirely in the browser with JavaScript, using keyword matching rather than a live model, so there is no network cost or external data exposure. The project also documents its own security choices, including escaping user input to avoid script injection, and its accessibility choices, including keyboard navigation and screen reader labels. The app is a plain JavaScript project with no build step. To try it, a user runs a small Python script that starts a local web server on port 8000 and opens the dashboard in a browser. A built in test page at test.html runs checks for security, accessibility, and the incident triage logic. The project also links to a live hosted version on Netlify.

Copy-paste prompts

Prompt 1
Explain how the incident triage keyword classifier decides severity levels like Critical, Warning, and Info.
Prompt 2
Show me how the client side AI response simulator works without calling any external model.
Prompt 3
Walk me through the accessibility features like focus rings, ARIA labels, and skip links in this project.
Prompt 4
Help me run the local Python server and the automated test suite for this app.

Frequently asked questions

What is stadiumpulse-ai-2026?

A simulated stadium operations dashboard and multilingual fan companion app built as a World Cup 2026 concept demo, with no real AI backend.

What language is stadiumpulse-ai-2026 written in?

Mainly JavaScript. The stack also includes JavaScript, HTML, CSS.

How hard is stadiumpulse-ai-2026 to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is stadiumpulse-ai-2026 for?

Mainly pm founder.

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