Project Info
Inspiration
We're passionate about the endless opportunities spatial computing holds for the future. For our project, we wanted to create an environment for the Vision Pro where anyone's personal space is as limitless as their imagination. Our idea was inspired by the existing Vision Pro "Environments" which allows users to transform their physical surroundings into a completely different place, from snow-capped mountains to a sunset in the desert. With the click of your fingers, you can immerse yourself in the most beautiful parts of the world.
What it does
Now imagine just that, but instead of choosing from a limited number of ~10 presets, you can generate infinite places to visit in the world. Here's how it works: you open Immerse, input a prompt such as "a verdant meadow with a beautiful sunset" and you'll automatically be transported into that scene. You will be immersed entirely in a world of your choosing, and you can personalize your prompt as you wish until you've created the perfect setting. For seniors, young people, and others of all ages, Immerse could improve mental health and meditation, boost creativity and memory, and increase imagination.
How we built it
Immerse was built with SwiftUI, Vision OS SDK, and an API for the text-to-3D image generation.
Challenges we ran into
None of us had prior knowledge of SwiftUI or Vision Pro hardware so this was an ambitious but exciting tackle for us.
Accomplishments we're proud of
We're proud of creating an app that will inspire the imagination and creativity of people.
What we learned
We learned how to code in a new language, with a new piece of hardware, in a team of new people. It was definitely a time of creative exploration and keeping an open mind.
What's next
for Verse We hope to incorporate audio and make it even more immersive so that people can come to Immerse as a space to relax, meditate, and be endlessly creative in their own world.
Analysis
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Metric
- 3
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- SwiftIn code
1 of 1 appear in the indexed code.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
7.6 KB
Source files
4
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
nourgajial26/TreeHacks2024
5 files · 8 KB · @ 8377475
Structure
Application logic
4 files · 80%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- Swift98%
- Markdown2%
Share of indexed source by file size. Binary and vendored files are excluded.
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