Wildfire Safety App

View website
Year
2020 - 2022
Services
Augmented Reality
Intro
The Wildfire Prevention App is a mobile AR application that utilizes machine learning to identify high-risk objects such as windows, doors, and roofs in homes. The app provides an interactive way for users to explore their homes and learn about fire prevention methods. By utilizing advanced machine learning algorithms, the app is able to accurately identify potential hazards and provide users with personalized prevention recommendations. With an intuitive and easy-to-use interface, users can quickly and easily assess their home's risk level and take proactive steps to prevent wildfires. The Wildfire Prevention App represents a cutting-edge solution that leverages the latest technologies to help keep homes and communities safe from the devastating effects of wildfires.

Process

MY ROLE

On this two-person team, my primary roles included project management, experience design, testing, and deployment. I worked with my development partner to design and create the augmented reality user interface, provided weekly updates to the funder and I annotated and tested images for the artificial intelligence model used in the app.

PRODUCT

The purpose of this project was to create an engaging app that fire safety officers could use in the field to help educate homeowners on fire safety pertaining to their homes. When used the app used an augmented reality live of a home structure and icons were placed on the house at various points of interest, such as windows, the roof and under eaves construction. This was done to show homeowners specific locations on their house that could serve as fire risks. Once the locations were identified a information repository was accessible for fire mitigation steps.

No items found.

Result

KEY TAKEAWAYS

  • Integrating augmented reality into educational apps for enhanced user engagement and interactive learning experiences increased engagement.
  • Innovative work can sometimes be easier in smaller in a two-person teams.
  • Greater understanding of the potential and limitations of machine learning on mobile devices.
  • There is a growing interest from government entities for the adoption of machine learning technologies in education.
No items found.

Got a project?

Let’s talk!