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01_Manifest_Summary

Quizard streamlines assessment creation by converting static learning materials into interactive quizzes, enabling educators and learners to prioritize comprehension over content preparation.

// Input_Challenge

Manual quiz creation from large technical documents and academic PDFs is inefficient and error-prone, creating a significant bottleneck in scalable learning workflows.

// Output_Logic

Designed an end-to-end AI pipeline using LangChain for document chunking and vectorization, combined with GPT-4o prompt orchestration to extract semantic context and generate quiz-ready JSON optimized for real-time React rendering.

Stack_Registry

_frontend

Next.js 14Tailwind CSSFramer MotionLucide React

_backend

Supabase AuthPostgreSQLEdge Functions

_tools

OpenAI APILangChainVercel SDKZustand
System_Outcomes
[ SUCCESS_01 ]

Cut quiz creation time by approximately 90%.

[ SUCCESS_02 ]

Delivered ~95% semantic extraction accuracy on technical content.

[ SUCCESS_03 ]

Implemented scalable, Supabase-backed multi-user authentication and session tracking.

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