Object lens
Review a ceramic vessel camera view with a suggested catalog match and Confirm object button.
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- Museum companion
- AI mobile concept
Musepact
A museum companion connecting object recognition, source-backed questions and personalized audio trails.
Designed around4 AI workflows
Project overview
Musepact explores museum companion through a mobile experience built around an artifact-first editorial screen with an audio player. A museum companion connecting object recognition, source-backed questions and personalized audio trails. The proposed journey connects object lens, ask the collection, audio trail, visit journal. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Flutter architecture.
The challenge
Visitors need to explore an object without losing the gallery context or confusing generated interpretation with museum information. 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 object lens and ask the collection connected within a short mobile flow.
- Make catalog matching correctable when the model misreads the input.
- Explain interest-based trails through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with an artifact-first editorial screen with an audio player, using large touch targets, short task sequences and contextual sheets. Suggest object matches from a photograph and request confirmation. Draft answers from a curated collection with visible source references. The companion views keep drafts, original material and accepted decisions distinct. A burgundy, parchment and soft gold visual system gives this app its own character within the collection.
- Suggest object matches from a photograph and request confirmation.
- Draft answers from a curated collection with visible source references.
- Suggest a short route from the visitor's saved themes.
- Produce selectable-length narration from approved catalog text.
Key features
Inside the platform
Follow the story that catches your eye.
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 object lens, inspect the proposed ask the collection 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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