BrainDeck's AI turns your notes into custom flashcards in seconds. Access pre-made decks or generate your own. With gamified study sessions and a scheduler to keep you on track, BrainDeck makes learning efficient and fun. Perfect for exam prep and revision!

Hey everyone! 👋 I'm super excited to share BrainDeck with you! 🎉 I originally built this app to help me learn Italian. I had all these workbook translations I wanted to turn into flashcards so I could practice and really drill them into my memory. After seeing how useful it was for me, I realized this could help anyone trying to revise or memorize content – so I made it subject agnostic! Whether you're prepping for exams, learning a language, or just trying to retain info better, BrainDeck has got you covered. 📚✨ What you can do with BrainDeck: 📝 Generate flashcards from your notes or workbooks using AI 📚 Access a pre-made library of flashcard decks 🎮 Enjoy gamified study sessions to keep you motivated 📅 Use the study session scheduler to stay on track If you give it a try, I’d love to hear what you think! Your App Store reviews mean a lot and help the app grow – so if you find BrainDeck helpful, please consider leaving a rating. It makes a world of difference. 🙏💙 Thanks so much for your support! 🚀

Congrats on the launch, Jack! BrainDeck is a brilliant tool! I wonder whether it can remind users to revise according to the forgetting curve. Good luck!

@jack_home_cook That's cool, AI really changes our lifestyle

Nice app! congrats! I have a question: How does the AI-powered flashcard generation work? Can you walk me through the process of converting notes or workbook content into flashcards, and how accurate is the AI in identifying key terms and concepts?

@nancy_autonomous Hey! As a quick overview the algo is something like this: 1. Convert source material to plain text (eg use OCR to pull text from image) 2. Group/ summarise content into distinct chunks of information. 3. Generate flashcard for snippet - types include term and definition, question and answer and multiple choice. I can’t right now give you anything scientific about the accuracy. I’ve generally been iterating and supervising the testing myself and with help from my network. One of my next phases of development is to add some simple feedback mechanisms for the generation of materials so users can help to provide data that can be used to tune the process, model, etc. Hope that helps!

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