Case Study — Mobile

LearnLoom Flashcards

An offline-first spaced repetition learning app designed for medical and law students.

Project Overview

LearnLoom makes memorization easy by applying SuperMemo spaced repetition algorithms. Designed for heavy study workloads, students can write card decks containing custom images, code snippets, and text highlights, testing themselves on-the-go.

Key Features & Scope

Spaced repetition scheduling optimizing review timings based on past answers

Offline database storing millions of high-definition study cards in Realm DB

Rich text cards supporting markdown notation and inline LaTeX formulas

Study analytics graphs tracing daily targets, study times, and retention rates

System Architecture

Expo application using Realm DB for high-speed local data reads. UI is constructed using React Native Paper with optimized layout rendering to prevent battery drains.

Client InterfaceReact Native / Expo
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Backend CoreNode.js / Express
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Database NodeRealm DB & Local Storage
Database: Realm DB & Local Storage
Deployment: Google Play Store
App Startup Time1.2s
JS Bundle Size4.8 MB
Crash-Free Rate99.98%
Render Frame Rate60 FPS
Verified Production Metrics
React NativeExpoRealm DBTypeScriptChart.js

Keywords and concepts covered in this project case study:

LearnLoom Flashcards MobileSpaced repetition study app ExpoRealm DB React Native study cardsOffline first medical flashcards

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