AI flashcards
Case study

Deckbase
Learn with decks, FSRS spaced repetition, rich templates, and AI-assisted card creation.
Website

Mobile app




































Problem
Existing flashcard tools are either too rigid (simple text-only cards) or too complex (steep learning curve, poor mobile experience). Spaced repetition algorithms are powerful but underutilized because creating quality cards is time-consuming.
Solution
A modern flashcard app combining FSRS scheduling, rich multi-block templates (text, image, audio, quiz), and AI-assisted card generation. OCR and voice input reduce friction in creating cards from real-world material.
- Flutter app: Anki-style study (Again/Hard/Good/Easy), FSRS scheduler, templates with text/image/audio/quiz blocks, OCR and voice input, Anki .apkg and spreadsheet import.
- Offline-first Drift/SQLite with Firebase sync (Auth, Firestore, Storage), RevenueCat, FCM, home widgets.
- Web companion: Next.js marketing site, SEO/ASO workflows, Cloud Functions, optional MCP server for tooling.
Outcome
Users create and study decks efficiently across devices. Offline-first architecture ensures study sessions work anywhere; Firebase sync keeps progress consistent.
Stack
Industry
This project belongs to the EdTech industry.
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