Explore nearby
Review exhibit cards and a simple venue map with an offline-pack badge.
A museum visitor app connecting curated answers, adaptable audio stories and offline exhibit collections.
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.
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.
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.
Inside the platform
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
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.
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
Ready to build something similar?
Whether it's a platform for your industry or something completely different, we can help you build, integrate and scale.