Roleplay room
Review a voice conversation with an AI cafe partner, large microphone orb and topic chips.
A language coach for adaptive voice roleplay, transcript feedback and practice built from the phrases you save.
Lexivine explores language practice through a mobile experience built around a voice-first conversation canvas with transcript cards. A language coach for adaptive voice roleplay, transcript feedback and practice built from the phrases you save. The proposed journey connects roleplay room, speech feedback, phrase deck, learning path. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Flutter architecture.
Language learners need speaking practice that connects feedback to their own words rather than presenting a generic score. 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 a voice-first conversation canvas with transcript cards, using large touch targets, short task sequences and contextual sheets. Adjust fictional conversation turns to the selected level and topic. Suggest alternative wording beside the learner's original phrase. The companion views keep drafts, original material and accepted decisions distinct. A violet, white 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 iOS & Android architecture using Flutter and Dart. 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 roleplay room, inspect the proposed speech feedback 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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