Inspiration
We realized that lighting dramatically changes how a room feels — but choosing the right fixture is surprisingly difficult. Most people don’t know how bright a space should be, what style fits their layout, or how a fixture will actually look in their home. We wanted to solve this with something more intuitive than online shopping or interior design guesswork.
With the rise of mixed reality and AI, we saw an opportunity: What if your room could tell you exactly what lighting it needs? And what if you could preview that lighting instantly in your real space?
That idea became IlluminatorXR.
✨ What it does
IlluminatorXR is an AI-powered mixed reality lighting designer for Meta Quest.
It allows users to:
- Scan their real room using passthrough MR
- Detect furniture layout, ceiling geometry, and current brightness
- Analyze the space and identify lighting gaps
- Receive intelligent lighting recommendations
- Preview light fixtures instantly in mixed reality
- Adjust brightness and color temperature in real time
- And for fun… activate Disco Mode to transform any room into a party
In short, it helps users see their space in a new light.
How we built it
🛠 How we built it
- Built on Unity with Meta XR SDK, using Passthrough and Scene Understanding
- Used Quest’s spatial mesh and plane detection to understand room geometry
- Captured passthrough frames and sent them to a Roboflow AI detection service
- Analyzed brightness and estimated color temperature directly from camera input
- Designed a rule-based recommendation engine to suggest fixtures based on room layout and lighting needs
- Implemented MR placement of 3D light fixtures with adjustable intensity and warmth
- Added dynamic lighting effects, glow shaders, and a playful Disco Mode sequence
- Designed a clean UI system to guide scanning, analysis, and selection
🧩 Challenges we ran into
- Meta SDK passthrough relighting work differently in different version of the Meta SDK
- Performance constraints on the Quest meant we needed lightweight models
- Combining scene mesh and AI detection make scene extremely heavy and hard to move forward
- Getting lighting previews in Unity to feel “real” with only approximated environmental data could be hard, need more shader work.
🏆 Accomplishments that we're proud of Illuminator XR
- Built a working end-to-end MR pipeline in only around 2 days
- Achieved real-time room scanning + AI analysis on the Quest
- Designed a delightful MR lighting preview that feels surprisingly natural
- Created Disco Mode — the demo moment everyone smiles at
- Developed a clean, judge-friendly user flow from scanning → analysis → preview
- Produced a polished UI that clearly communicates the vision
- Training a custom lighting fixture detection model
Most of all, we built something that genuinely feels useful and magical.
📚 What we learned
- Lighting perception is more emotional than technical — small changes have huge impact
- AI models don’t need to be perfect to create meaningful recommendations
- Good storytelling and user flow matter as much as the tech in a hackathon
- MR UX requires minimalism, clarity, and constant anchoring
- Quest passthrough and spatial mapping are incredibly powerful tools when paired with AI
- Good storytelling and user flow matter as much as the tech in a hackathon
🚀 What's next for IlluminatorXR
- Adding lux measurement + lighting health scoring
- Detection more furnitures etc, kitchen table for cooking, working desk, bookshelf, dinning table to analyse and give specific suggestion
- Partnering with lighting brands to allow one-click purchasing
- Supporting multi-fixture planning and automatic lighting layouts
- Bringing IlluminatorXR to phones and AR glasses for broader access
IlluminatorXR is just the beginning of smart, AI-driven interior design — and we’re ready to push it further.


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