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ai-flashcard-trainer

v0.1.1

Published

React components and spaced repetition engine for flashcard-based training — study sessions, AI-powered explanations, deck management.

Readme

ai-flashcard-trainer

React components and spaced repetition engine for flashcard-based training. Features study sessions with card flip animations, AI-powered alternative explanations, deck management, and SM-2 spaced repetition.

Install

npm install ai-flashcard-trainer

Usage

React Components

import { StudySession, DeckSelector } from "ai-flashcard-trainer";

// DeckSelector — pure presentation, pass decks + onSelect
<DeckSelector
  decks={decks}
  onSelect={(deck) => startStudying(deck)}
/>

// StudySession — pass callbacks for data operations
<StudySession
  deckId="abc-123"
  deckName="AWS ML Engineer"
  deckType="cert"
  onBack={() => setView("decks")}
  callbacks={{
    fetchDueCards: async (deckId) => fetch(`/api/cards?deckId=${deckId}&due=true`).then(r => r.json()),
    startSession: async (deckId) => fetch("/api/sessions", { method: "POST", body: JSON.stringify({ deckId }) }).then(r => r.json()),
    submitReview: async (cardId, rating) => { fetch(`/api/cards/${cardId}/review`, { method: "POST", body: JSON.stringify({ rating }) }) },
    completeSession: async (sessionId, stats) => { fetch(`/api/sessions/${sessionId}`, { method: "PATCH", body: JSON.stringify(stats) }) },
  }}
  onExplain={async ({ front, back, deckType, style }) => {
    const res = await fetch("/api/ai-explain", { method: "POST", body: JSON.stringify({ front, back, deckType, style }) });
    return res.json();
  }}
/>

Engine (no React dependency)

import { calculateNextReview, isDue, getPromptTemplates } from "ai-flashcard-trainer/engine";

const result = calculateNextReview(currentInterval, easeFactor, "easy");
// { interval: 6, easeFactor: 2.65, nextReviewAt: Date }

const templates = getPromptTemplates("cert");
// [{ label: "Explain with real-world example", style: "real-world", buildPrompt: fn }, ...]

Drizzle Schema (optional)

import { flashcardDecks, flashcards, flashcardReviews, studySessions } from "ai-flashcard-trainer/schema";

Components

| Component | Description | |---|---| | StudySession | Full study flow: card loading, flip, rating, progress, session tracking | | FlashcardCard | Single card with CSS 3D flip animation | | AiExplainPanel | AI-powered alternative explanations with prompt style buttons | | DeckSelector | Grid of deck cards with type badges and due counts | | SessionSummary | End-of-session stats with restart/back actions |

Spaced Repetition

Uses a simplified SM-2 algorithm:

  • Easy: interval grows faster, ease factor increases
  • Medium: interval grows at current rate
  • Hard: interval resets to 1 day, ease factor decreases
  • Max interval: 180 days

License

MIT