Item lens
Review a household object scan with editable material candidates.
Back to work
- Household reuse
- AI mobile concept
Sortivoa
A household reuse assistant connecting material candidates, local-source guidance and creative reuse ideas.
Designed around4 AI workflows
Project overview
Sortivoa explores household reuse through a mobile experience built around a camera-led item card with location-rule drawer. A household reuse assistant connecting material candidates, local-source guidance and creative reuse ideas. The proposed journey connects item lens, local guide, reuse ideas, household log. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Kotlin architecture.
The challenge
Households need item suggestions connected to verified local references rather than universal disposal guesses. 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 item lens and local guide connected within a short mobile flow.
- Make material candidates correctable when the model misreads the input.
- Explain reuse ideation 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 item card with location-rule drawer, using large touch targets, short task sequences and contextual sheets. Suggest likely material labels for the user to confirm. Explain selected local guidance with dated source links. The companion views keep drafts, original material and accepted decisions distinct. A teal, white and sunflower visual system gives this app its own character within the collection.
- Suggest likely material labels for the user to confirm.
- Explain selected local guidance with dated source links.
- Draft creative reuse options from the user's description.
- Organize saved decisions without inventing environmental impact metrics.
Key features
Inside the platform
Find the next use for what you own.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed Android architecture using Kotlin and Jetpack Compose. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
- Kotlin
- Jetpack Compose
- Room
- AI services
The results
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete item lens, inspect the proposed local guide 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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