Paste source content and generate
Paste source content and generate question-answer flashcards through the flashcard generation endpoint.
Recall system
AI Medical Flashcards With Spaced Repetition
AlphaLearn turns medical content into usable recall cards, then keeps those cards in a review system that can be tuned to your exam style. A student can generate a deck from notes, save it, import syllabus topics into spaced repetition, and review due topics without manually rebuilding the same study list every week.
Paste source content and generatePaste source content and generate question-answer flashcards through the flashcard generation endpoint.
Generated cards render as flipGenerated cards render as flip cards with a question side and answer side.
Name and save generated decksUsers can name and save generated decks.
Connected search
Generate cards from content.
AI Medical Flashcards With Spaced Repetition
Recall system / MBBS workflow
Generate
Paste source content and generate
Generated cards render as flip
Name and save generated decks
Decks save locally through the
When online, the same deck
Study context
Built from app logic
What it does
Small details that make the feature useful every day
Explain AlphaLearn as a medical flashcard workflow that starts with AI card generation and continues into customizable spaced repetition.
Generated cards render as flip
Generated cards render as flip cards with a question side and answer side.
Name and save generated decks
Users can name and save generated decks.
Decks save locally through the
Decks save locally through the app database first, which supports offline-first use.
When online, the same deck
When online, the same deck is saved to the user's Firestore flashcards collection with the same generated deck ID.
Saved deck metadata includes title
Saved deck metadata includes title, cards, creation timestamp, and card count.
Workflow
How students use it inside AlphaLearn
The spaced repetition system is deliberately adjustable. Students can keep a simple 4-level cycle or expand it up to 8 levels for long-term revision. Basic mode is predictable, while adaptive mode changes the interval based on confidence after review.
Generate cards from content
Generate cards from content.
Save decks locally and sync
Save decks locally and sync online.
Basic versus adaptive repetition
Basic versus adaptive repetition.
Custom review levels
Custom review levels.
Feature preview
Generate with less friction
Search, filter, open, and keep moving
- Paste source content and generate question-answer flashcards through the flashcard generation endpoint.
- Generated cards render as flip cards with a question side and answer side.
- Users can name and save generated decks.
- Decks save locally through the app database first, which supports offline-first use.
- When online, the same deck is saved to the user's Firestore flashcards collection with the same generated deck ID.
- Saved deck metadata includes title, cards, creation timestamp, and card count.
- Spaced repetition supports configurable interval levels, not a fixed one-size schedule.
Generate cards from content.
Paste source content and generate question-answer flashcards through the flashcard generation endpoint.
Save decks locally and sync online.
Generated cards render as flip cards with a question side and answer side.
Basic versus adaptive repetition.
Users can name and save generated decks.
More from the logic
Extra capabilities worth mentioning on the SEO page
These smaller product details are useful for long-tail SEO and for showing that the feature is practical, not just a headline.
- Spaced repetition supports configurable interval levels, not a fixed one-size schedule.
- Default spaced intervals are 3, 7, 14, and 30 days.
- Users can change the number of spaced repetition levels from 2 to 8.
- Each level has a learning label such as short-term recall, reinforcement, consolidation, deep memory, long-term, expert retention, mastery path, and permanent memory.
- Basic mode advances one level per completed review using exact configured intervals.
- Adaptive mode uses confidence rating and adjusts the next review interval.
- Topics can be added manually or imported from syllabus/topic templates.
- Syllabus import lets students pick year, subject, chapters, and topics before importing.
- Topics can be reviewed from the due tab and moved through active/mastered status.
- Review stats track total reviews, correct reviews, current streak, longest streak, and last review date.
- Review notifications are scheduled around 9:00 AM for due topics where notification permissions and platform support are available.
- Notification sync is capped to avoid scheduling too many future review notifications.
- Local cache enables optimistic rendering before fresh Firestore data arrives.
Content source: `src/js/flashcards.js`, `src/js/spaced.js`, `src/js/db_manager.js`.
AlphaLearn AI
Generate smarter with a medical study system built around real workflows
AlphaLearn turns medical content into usable recall cards, then keeps those cards in a review system that can be tuned to your exam style. A student can generate a deck from notes, save it, import syllabus topics into spaced repetition, and review due topics without manually rebuilding the same study list every week.