Room scan
Review a living-room photograph with editable object outlines and a Scan room button.
Back to work
- Room styling
- AI mobile concept
Roomori
A room-styling companion for photo-based exploration, visual furniture search and shared design decisions.
Designed around4 AI workflows
Project overview
Roomori explores room styling through a mobile experience built around a camera-led room canvas with a bottom furniture tray. A room-styling companion for photo-based exploration, visual furniture search and shared design decisions. The proposed journey connects room scan, style variations, furniture shortlist, project board. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Flutter architecture.
The challenge
Room styling decisions need to connect inspiration with the actual room and a reviewable set of choices. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep room scan and style variations connected within a short mobile flow.
- Make scene understanding correctable when the model misreads the input.
- Explain visual search through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a camera-led room canvas with a bottom furniture tray, using large touch targets, short task sequences and contextual sheets. Draft object labels from an uploaded room photograph for user correction. Explore styling directions while preserving stated layout constraints. The companion views keep drafts, original material and accepted decisions distinct. A terracotta, cream and ink visual system gives this app its own character within the collection.
- Draft object labels from an uploaded room photograph for user correction.
- Explore styling directions while preserving stated layout constraints.
- Find related items within a saved furniture catalog.
- Use explicitly saved materials and colors to refine later suggestions.
Key features
Inside the platform
Explore the room before moving the furniture.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed iOS & Android architecture using Flutter and Dart. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
- Flutter
- Dart
- SQLite
- Multimodal AI
The results
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete room scan, inspect the proposed style variations output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.
4Original mobile showcase views
4Proposed AI workflows
12Designed feature areas
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