PREPIFY

PREPIFY is an AI-first learning intelligence platform that transforms any syllabus into personalised, multimodal study workflows with built-in assessment and analytics.

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Inspiration

At NUTM, keeping up with courses can be a real struggle. Between expensive AI tools, massive textbooks, and the pressure to pass, I found myself constantly juggling ways to study smarter, not harder. I wanted something that could actually make learning manageable, help track progress, and give meaningful feedback without burning a hole in my wallet. That’s when the idea for PREPIFY came alive—an all-in-one study platform that adapts to how students actually learn.

What it does

PREPIFY takes any syllabus and turns it into a personalised, multi-layered study workflow. You can:

  • Make notes and turn them into podcasts for audio review
  • Create flashcards, quizzes, and oral examinations
  • Join study circles with classmates
  • Get analytics on your progress, including strengths and weak spots
  • Use essay grading and a plagiarism checker
  • Visualise knowledge with neural maps Everything is powered by AI for recommendations and explanations, but even if the AI goes down, you still keep your history, notes, and progress.

How we built it

I started by building a non-AI core: user accounts, study history, and session storage, so the system is functional even if the Gemini API fails. Then I layered AI-powered intelligence on top for content generation, adaptive quizzes, and explanations. The frontend is web-based so students can access it anywhere, and the backend tracks all progress and analytics. I used the Gemini 3 API to generate intelligent study suggestions and personalized workflows, while caching results to avoid total downtime.

Challenges we ran into

  • Cost of AI: Gemini is amazing but expensive, so we had to make sure the app still works without it.
  • Time constraints: Balancing classes, exams, and development was rough.
  • Scope creep: I wanted every feature possible, from flashcards to neural maps, but had to prioritise what actually impacts learning.
  • Integration complexity: Combining AI, analytics, and multiple study modalities into one smooth workflow took a lot of trial and error.

Accomplishments that we're proud of

  • Built a fully functional AI-first learning platform that actually works without AI.
  • Integrated 10+ study tools into a single cohesive workflow.
  • Created graceful degradation, so downtime doesn’t erase student progress.
  • Turned personal frustration into a real solution for students.
  • Successfully adapted AI responsibly, focusing on real-world learning outcomes, not just fancy tech.

What we learned

  • Learning tools need to support students in practice, not just in theory.
  • AI should enhance human effort, not replace it.
  • Planning for failure and resilience is as important as building features.
  • Real-world constraints like cost, time, and usability shape the best products.

What's next for PREPIFY

  • Expand Gemini AI features while keeping the core offline-ready.
  • Add more collaboration tools for study groups and peer review.
  • Implement adaptive learning paths that adjust in real-time to student progress.
  • Make mobile-friendly apps for Android and iOS for anytime, anywhere learning.
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