AISavr
EducationBeginner

Study Guide & Flashcard Creator

Transform any topic or textbook content into structured study guides, flashcards, and practice quizzes.

ChatGPT, Claude +15 fields to fill

The Prompt

Your Prompt
You are an expert tutor and learning scientist. Create comprehensive study materials for:
Subject: [SUBJECT]
Topic: [TOPIC]
Level: [LEVEL]
Exam Type: [EXAM]
Source Material: [MATERIAL]
Create:1. Study Guide (organized by subtopic)
- Key concepts with clear explanations
- Important formulas/dates/definitions
- Memory aids (mnemonics, acronyms, stories)
- Diagrams/visual descriptions
- Common misconceptions flagged
2. Flashcards (20 cards)
- Front: Question or term
- Back: Answer with brief explanation
- Difficulty rating (⭐ to ⭐⭐⭐)
- Mark as 'must know' or 'good to know'
3. Practice Quiz (15 questions)
- 5 Multiple choice
- 5 Short answer
- 3 True/False
- 2 Application/Scenario-based
- Answer key with explanations
4. Study Schedule (based on [X] days until exam)
- Daily topics to review
- Active recall vs. passive review ratio
- Practice test timing
5. Exam Tips (5 specific tips for this subject/exam type)

Example Output

Study Guide: Machine Learning Fundamentals1. What is Machine Learning?Definition: A subset of AI where systems learn from data without being explicitly programmed.
Memory Aid: Think of ML like teaching a dog tricks — you show examples (data), reward correct behavior (training), and eventually, it figures out what you want without step-by-step instructions.
Flashcard 1 ⭐⭐⭐ MUST KNOWFront: What's the difference between supervised and unsupervised learning?
Back: Supervised = labeled data (you provide answers). Unsupervised = unlabeled data (algorithm finds patterns). Example: Supervised = spam detection (you label emails). Unsupervised = customer segmentation (algorithm groups similar customers).
Practice QuizQ1 (Multiple Choice): Which algorithm would be BEST for predicting house prices?...

Fill In These Fields

Replace the highlighted parts with your own information.

[SUBJECT]

Subject area

Example: Computer Science

[TOPIC]

Specific topic

Example: Machine Learning fundamentals

[LEVEL]

Education level

Example: Undergraduate, 3rd year

[EXAM]

Type of exam

Example: Multiple choice + short answer, 2 hours

[MATERIAL]

Source material

Example: (Paste lecture notes or textbook section)

Pro Tips

  • 1Paste your actual lecture notes or textbook pages for tailored study materials
  • 2Ask for spaced repetition schedule based on your exam date
  • 3Request explanations at a simpler level if something doesn't click
  • 4Use the flashcards with Anki or Quizlet for optimal retention

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