AI-Powered Flashcards with Claude Projects

By Student Author
Headshot of Sebastian Thomas
Sebastian Thomas

MS in Artificial Intelligence

Khoury College of Computer Sciences

Class of 2026

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Introduction

Flashcards are one of the most effective tools for exam preparation and the reason comes down to learning science. Research on retrieval practice shows that actively recalling information from memory strengthens long-term retention. Flashcards are a well-established way to put this into practice, turning passive review into active recall. The ability to quickly test yourself on key concepts, identify gaps in your understanding, and repeat cards you struggle with makes them ideal for the focused, active learning that leads to better retention. The challenge is creating good cards that test real understanding and cover the right material from your actual lectures. 

Claude Projects offers a smarter approach. By uploading your lecture notes directly into a Project’s knowledge base, you give Claude persistent, scoped access to your exact course materials and not generic internet knowledge. Every flashcard it generates is grounded in what your instructor actually taught. The Project also remembers your materials across every conversation, so you don’t need to re-paste notes each session. 

 This guide walks you through setting up a Claude Project for flashcard generation, including a ready-to-use Project Instructions and tips for getting the most out of it throughout your semester. 

 Specific Examples

  1. Computer Science — Reinforcement Learning

A CS student uploads weekly lecture slides on reinforcement learning and multi-armed bandits. Instead of cards that ask ‘What is a multi-armed bandit?’, the Project generates cards that test reasoning: What distinguishes a multi-armed bandit problem from a full reinforcement learning problem?’ 

  1. Law — Case Analysis

A law student feeds in lecture notes and case summaries. The Project generates cards that present new hypothetical scenarios and ask which legal principle applies and why. 

Tools and Resources

You will need a Northeastern Claude account. Before your first session, prepare the following: 

  • Your lecture notes, slides, or handouts saved as PDFs or text files 
  • A clear sense of which topics or modules you want to focus on 
  • The Project Instructions below 

Setting Up Your Project

Follow these steps to get your flashcard project running: 

Go to claude.ai and click Projects in the left sidebar, then New Project. 

  • Give it a descriptive name, e.g. “BIOL2001 Flashcards” or “Contracts Law Study.” 
  • Open Project Instructions and paste the system prompt from the next section. This tells Claude how to behave every time you start a new conversation inside the project. 
  • Click Add in the Files section (Project knowledge base) and upload your lecture notes. You can add multiple files. Claude will treat all of them as your course materials. 
  • Start a new conversation inside the project and begin requesting flashcards. 

The knowledge base is what makes Projects powerful. Claude draws only on what you’ve uploaded, which means the cards stay relevant to your course. 

Project Instructions

Copy the prompt below into your Project Instructions. You can use it as-is or adapt it, for example, specifying your course name, adjusting the difficulty level, or requesting a particular card format. The more specific you make it, the more targeted your flashcards will be. 

 # Project Purpose 

This project generates study flashcards to help students prepare 

for exams based on lecture materials. Flashcards must help students 

learn concepts WITHOUT duplicating actual exam questions. 

 # Core Principles 

– Test understanding and application, not memorisation 

– Align with the lecture materials in the project knowledge base 

– Include ‘why’ and ‘how’ questions, not just ‘what’ 

– Vary question format and difficulty level 

 # Presentation 

Always present flashcards as an interactive React artifact with 

flip-card functionality. Each card should: 

  • Display the question face-up by default 
  • Flip to reveal the answer when the student clicks it 
  • Include ‘Got it’ and ‘Review again’ buttons after the answer 
  •  Is revealed, so students can track which cards to revisit 
  • Show a progress indicator (e.g. Card 3 of 10) 
  • Allow cards marked ‘Review again’ to reappear at the end 

 # Flashcard Format 

**Concept**: [Topic area] 

**Question**: [Clear, specific question] 

**Answer**: [Correct Answer with brief explanation] 

**Why This Matters**: [One sentence linking to lecture] 

 Feel free to adapt the format section to match how your course structures assessments — for example, requesting only multiple-choice cards, or asking for a difficulty rating on each card. 

Prompts

Starting Prompt 

 Use these starter prompts to kick off a flashcard generation session in your project chat: 

 I’m preparing for my [topic/module] exam. Based on the lecture notes 

in this project, could you generate [number] flashcards covering: 

  1. [Key concept or topic area]
  2. [Second topic or concept]
  3. [Third topic or concept]

Please include a mix of basic, intermediate, and advanced cards, 

and vary the format (short answer, multiple choice, scenario-based). 

 Follow-up Prompts for Iteration 

  • I keep getting [concept] wrong. Can you generate 5 more cards that approach it from different angles? 
  • Make the cards on [topic] harder. I want them to test edge cases and exceptions, not just the main principle. 
  • I have a quiz on [specific topic] tomorrow. Can you give me 10 rapid-fire short-answer cards to drill right now? 

Thoughts and Concerns

  • Accuracy check: Always verify answers against your lecture notes 

 Claude can occasionally state something confidently that is subtly incorrect or that oversimplifies a nuance your lecturer emphasised. Treat each card as a starting point, not a final answer. If something doesn’t match your notes, trust your notes. 

  •  Go beyond the answer: Understand how the answer was derived 

 Don’t just check that the answer is correct. Make sure you understand the reasoning behind it. If a card asks why a particular algorithm is more efficient and you can recite the answer but not explain it in your own words, you’re not ready for the exam yet. Use the cards to identify gaps, then go back to your notes to fill them. 

  •  Know the limits: These cards are a study supplement, not a replacement 

 Professor-created flashcards, past papers, and study guides are designed with intimate knowledge of your specific course, marking scheme, and exam style. AI-generated cards are a powerful complement but cannot replicate that. Use them to build understanding and identify weak areas, then cross-reference with official materials before your exam. 

  •  Avoid overwhelm: Start focused, then broaden 

 Begin with one topic or module rather than asking for cards across your entire course in one go. Focused batches are easier to review, and iterating within a topic produces better coverage than spreading thin across everything at once. 

 Miscellaneous 

 

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