Austin Digital Twin

About

The Austin Digital Twin is an extraordinary project aimed at redefining urban management and public safety through technology. This repository contains the code for generating a digital twin of Austin, Texas, using publicly available real-time information. The project is an interactive, real-time 3D map of Austin's dynamic cityscape, offering immediate insights into critical aspects such as fires, police activity, and live traffic data. This initiative is developed in collaboration with the University of Texas Urban Information Lab, the City of Austin, and the TeXuS Lab.

For more details and live demo, visit AustinDigitalTwin.com.

Other Projects by Urban Info Lab

1. FireIncidentFrontend: A cutting-edge solution that predicts smoke paths and provides real-time analysis of air quality drops due to fires.
2. OpenCityAI: An AI trained on open city data, capable of generating accurate responses for city data queries.
3. AustinCrime: A live digital twin focused on crime data in Austin.
4. AI-FEED: An AI-based solution to food deserts through optimal food charity redistribution.
5. DataPoweredAI: Making AI more accessible through data-centric training and deployment.
6. GPT-Auto-Scraper: GPT-powered web scraping to make data more accessible.
7. ComputeGPT: Free chat and calculation model for math, science, and engineering, to make GPT models more accurate.

Installation

# Clone the repository
git clone https://github.com/urbaninfolab/AustinDigitalTwin.git

# Navigate to the directory
cd AustinDigitalTwin

# Install dependencies
npm install -g live-server

# Run the application
live-server

Usage

Open your web browser and go to http://localhost:8080 to view the digital twin website. Note that each individual digital twin is hosted in their own separate repository. This repo hosts the static information Austin Digital Twin site.

Acknowledgments

• University of Texas Urban Information Lab
• City of Austin
• TeXuS Lab

For more information and updates, please visit our website.