Appliance passport
Review an appliance photo with model fields and warranty-document references.
A home-records app for appliance-label capture, document retrieval and service-appointment preparation.
Fixlark explores home maintenance journal through a mobile experience built around an appliance passport with document tabs and photo history. A home-records app for appliance-label capture, document retrieval and service-appointment preparation. The proposed journey connects appliance passport, label capture, ask my records, home timeline. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Java architecture.
Householders need model details, manuals and service notes together without relying on generated repair directions. 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.
The design begins with an appliance passport with document tabs and photo history, using large touch targets, short task sequences and contextual sheets. Draft appliance identifiers with uncertain characters highlighted. Locate relevant manual pages and saved service records. The companion views keep drafts, original material and accepted decisions distinct. A navy, warm gray and lime visual system gives this app its own character within the collection.
Inside the platform
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed Android architecture using Java and Android Views. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete appliance passport, inspect the proposed label capture 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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