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  • Home maintenance journal
  • AI mobile concept

Fixlark

A home-records app for appliance-label capture, document retrieval and service-appointment preparation.

Fixlark product concept in a branded setting

Designed around4 AI workflows

Project overview

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.

The challenge

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.

  • Keep appliance passport and label capture connected within a short mobile flow.
  • Make model-label extraction correctable when the model misreads the input.
  • Explain appointment preparation through visible references or user-selected preferences.
  • Keep changes, sharing and data retention under explicit user control.

Our solution

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.

  • Draft appliance identifiers with uncertain characters highlighted.
  • Locate relevant manual pages and saved service records.
  • Summarize user-entered issues into an editable service brief.
  • Suggest document categories for the owner to confirm.

Key features

  • Appliance passport

    Review an appliance photo with model fields and warranty-document references.

  • Label capture

    Review a photographed model label with OCR uncertainty highlights and Confirm fields.

  • Ask my records

    Review a cited AI answer locating a user-saved manual or service note.

  • Home timeline

    Review appointments, document expiry reminders, attachments and maintenance journal entries.

  • Model-label extraction

    Draft appliance identifiers with uncertain characters highlighted.

  • Document retrieval

    Locate relevant manual pages and saved service records.

  • Appointment preparation

    Summarize user-entered issues into an editable service brief.

  • Record organization

    Suggest document categories for the owner to confirm.

  • Appliance library

    Group records by room or equipment type.

  • Service timeline

    Keep appointments and owner observations together.

  • Document reminders

    Set reminders using confirmed document dates.

  • Private attachments

    Control access to photographs and household records.

Proposed technology stack

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.

  • Java
  • Android Views
  • SQLite
  • 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 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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