Overview
Recallry explores personal study through a mobile experience built around a document-led study screen with a compact bottom learning dock. A study companion that turns personal notes into cited explanations, practice questions and revision maps. The proposed journey connects study capture, ask my notes, practice round, revision map. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed React Native architecture.



Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Challenge
Students need generated practice to stay connected to their actual source material and reveal mistakes without hiding the reasoning. 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 study capture and ask my notes connected within a short mobile flow.
- Make handwriting extraction correctable when the model misreads the input.
- Explain adaptive practice through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Solution
The design begins with a document-led study screen with a compact bottom learning dock, using large touch targets, short task sequences and contextual sheets. Turn photographed notes into editable text with uncertain words marked. Answer questions using selected notes and linked excerpts. The companion views keep drafts, original material and accepted decisions distinct. A navy, lilac and lemon visual system gives this app its own character within the collection.
- Turn photographed notes into editable text with uncertain words marked.
- Answer questions using selected notes and linked excerpts.
- Draft exercises based on topics the learner chooses to revisit.
- Group incorrect practice attempts into editable revision themes.
Results
4
Original mobile
showcase views12
Designed
feature areas4
Proposed AI
workflows


