Inspiration

Our sister is currently a nursing student and we saw how overwhelming nursing school prep and its licensing prep in general could be: long PDFs, confusing rationales, and tools that were either too generic or too rigid. Competitors like Quizlet, Gizmo, and StudyFetch cover broad subjects, but none focus deeply on nursing/medical exams like ATI TEAS and NCLEX, giving comprensive and application-like questions. We wanted to build something tailored, accurate, and interactive.

What it does

MedStudy transforms user-uploaded materials (PDFs, PPTs, images) into quizzes and practice tests aligned with NCLEX-style questions. Beyond generating answers, MedStudy explains rationales in a conversational manner and allows students to ask follow-up questions, even over voice, until they fully understand the concept.

How we built it

Using Base44, I structured prompts to:

  • Accept uploaded content (notes, PPTs, PDFs, images).
  • Generate NCLEX-style questions with correct rationales.
  • Allow conversational follow-ups with credible sources backing each explanation.
  • Enable optional voice interaction for back-to-back discussion with AI.

Challenges we ran into

  • Ensuring rationales were accurate and medically sound.
  • Balancing detail with simplicity so students don’t feel overwhelmed.
  • Building trust that AI explanations are credible and sourced.

Accomplishments

  • Created a working prototype that uploads files and generates practice material.
  • Integrated follow-up questioning that works like a tutor, not just flashcards.
  • Designed the system to scale beyond nursing into other medical specialties.

What we learned

  • Students value accuracy more than flashy features.
  • Interactivity (asking follow-up questions) is the key to true understanding.
  • Medical education tools need trust and credibility baked into design.

What’s next

  • Expand to cover multiple exams (USMLE, MCAT, PA boards).
  • Partner with educators and institutions for verified content.
  • Enhance with collaborative study groups, voice-first tutoring, and analytics.

Built With

  • base44
  • flutter
  • openai/claude-(llms)
  • python
  • speech-to-text
  • supabase-(backend)
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