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  • Visitor experience
  • AI mobile concept

Exhibra

A museum visitor app connecting curated answers, adaptable audio stories and offline exhibit collections.

Exhibra product concept in a branded setting

Designed around4 AI workflows

Project overview

Exhibra explores visitor experience through a mobile experience built around an exhibit story carousel with offline audio drawer. A museum visitor app connecting curated answers, adaptable audio stories and offline exhibit collections. The proposed journey connects explore nearby, ask a story, audio companion, visit collection. 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

Visitor apps need curated stories, accessible presentation and saved interests connected across inconsistent venue connectivity. 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 explore nearby and ask a story connected within a short mobile flow.
  • Make curated retrieval correctable when the model misreads the input.
  • Explain interest 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 exhibit story carousel with offline audio drawer, using large touch targets, short task sequences and contextual sheets. Answer questions from venue-approved content with references. Offer shorter or more detailed versions of the selected text. The companion views keep drafts, original material and accepted decisions distinct. A aubergine, ivory and gold visual system gives this app its own character within the collection.

  • Answer questions from venue-approved content with references.
  • Offer shorter or more detailed versions of the selected text.
  • Suggest a sequence based on explicitly saved themes.
  • Prepare narration from approved content for editorial review.

Key features

  • Explore nearby

    Review exhibit cards and a simple venue map with an offline-pack badge.

  • Ask a story

    Review an AI answer grounded in selected exhibit text with source links.

  • Audio companion

    Review a narrated exhibit summary with transcript, speed and text-size controls.

  • Visit collection

    Review saved exhibits, personal notes, downloaded stories and sharing permissions.

  • Curated retrieval

    Answer questions from venue-approved content with references.

  • Summary adaptation

    Offer shorter or more detailed versions of the selected text.

  • Interest trails

    Suggest a sequence based on explicitly saved themes.

  • Audio drafting

    Prepare narration from approved content for editorial review.

  • Exhibit bookmarks

    Keep personally selected stories together.

  • Audio transcripts

    Offer text alongside each saved narration.

  • Download packs

    Retain selected venue content for offline visits.

  • Text controls

    Let visitors adjust the reading presentation.

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 explore nearby, inspect the proposed ask a story 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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