Asset notebook
Review an equipment record with photographs, visit date and observation checklist.
Back to work
- Field inspection records
- AI mobile concept
Fieldnexa
A field-records companion that turns photographs and dictation into structured, reviewable visit packets.
Designed around4 AI workflows
Project overview
Fieldnexa explores field inspection records through a mobile experience built around a photo-first inspection notebook with structured form sheets. A field-records companion that turns photographs and dictation into structured, reviewable visit packets. The proposed journey connects asset notebook, capture observation, reference assistant, review packet. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed .NET MAUI architecture.
The challenge
Field teams need photographs and dictation attached to the right asset while an AI draft stays distinct from an approved record. 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 asset notebook and capture observation connected within a short mobile flow.
- Make asset-label reading correctable when the model misreads the input.
- Explain reference 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 photo-first inspection notebook with structured form sheets, using large touch targets, short task sequences and contextual sheets. Extract candidate identifiers from captured labels. Combine photo descriptions and dictation into editable notes. The companion views keep drafts, original material and accepted decisions distinct. A steel blue, white and amber visual system gives this app its own character within the collection.
- Extract candidate identifiers from captured labels.
- Combine photo descriptions and dictation into editable notes.
- Find relevant internal documentation with page references.
- Draft a summary that retains links to each observation.
Key features
Inside the platform
Turn field observations into reviewable records.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed modernization architecture: .NET MAUI and C# for iOS and Android, with Xamarin shown as the legacy migration source. AI services and offline storage are design proposals; this portfolio entry is not a shipped application.
- .NET MAUI
- C#
- Xamarin (legacy)
- 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 asset notebook, inspect the proposed capture observation 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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