Journey map
Review a fictional city itinerary map with three stops and a bottom trip drawer.
Back to work
- Travel planning
- AI mobile concept
Wayluma
A travel companion that turns spoken preferences into editable itineraries, explained alternatives and offline trip packs.
Designed around4 AI workflows
Project overview
Wayluma explores travel planning through a mobile experience built around a map-led journey screen and draggable day timeline. A travel companion that turns spoken preferences into editable itineraries, explained alternatives and offline trip packs. The proposed journey connects journey map, ai day builder, plan adjustment, trip wallet. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Flutter architecture.
The challenge
Travelers need a plan that explains its suggestions and can adapt when their available time changes. 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 journey map and ai day builder connected within a short mobile flow.
- Make voice brief correctable when the model misreads the input.
- Explain context retrieval through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a map-led journey screen and draggable day timeline, using large touch targets, short task sequences and contextual sheets. Turn a spoken preference brief into an editable itinerary draft. Propose stop sequences using the user's time and walking preferences. The companion views keep drafts, original material and accepted decisions distinct. A cobalt, warm sand and tangerine visual system gives this app its own character within the collection.
- Turn a spoken preference brief into an editable itinerary draft.
- Propose stop sequences using the user's time and walking preferences.
- Explain suggestions using saved trip notes and linked place references.
- Preview what would change before accepting a revised day.
Key features
Inside the platform
Turn a travel wish into a day you can edit.
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 journey map, inspect the proposed ai day builder 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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