AI-Powered Study Assistant with Auto-Generated Notes and Quizzes
A learning application that uses AI to generate study notes from uploaded documents and audio recordings, then creates adaptive quizzes that adjust to each student's knowledge gaps - making exam preparation faster and more effective.
About the Project
PhantumAI is an AI-powered study platform that transforms how students prepare for exams. Instead of manually summarizing lecture notes or creating flashcards, students upload their course materials - PDFs, documents, or audio recordings of lectures - and the platform generates structured study notes and adaptive quizzes automatically. The quiz engine is the core differentiator: it does not just test random facts. It tracks which concepts each student struggles with and generates new questions that target those specific gaps. The result is a study experience that gets smarter with every session. Built for the US education market, PhantumAI targets college students and professionals preparing for certification exams - anyone who needs to absorb large volumes of material efficiently.
The Challenge
Technical challenges
Building reliable AI pipelines that produce consistently high-quality notes from varied input formats - PDFs with different layouts, handwritten scan documents, and audio recordings with background noise and different accents. The adaptive quiz engine required tracking student performance per concept and generating new questions that specifically target knowledge gaps.
Product & UX challenges
Making AI-generated content feel trustworthy for high-stakes studying. Students needed to see that auto-generated notes were accurate summaries of their actual materials, not generic AI output. The quiz experience needed to feel engaging and targeted - not like a random question generator.
Business challenges
Students spend hours manually processing lecture materials into study-ready formats. Existing study tools offered static flashcards or basic note-taking - none used AI to automatically generate study materials from actual course content. The founders needed to prove that AI-generated notes were accurate and useful enough for real exam preparation.
What We Delivered
User authentication and profile management
Student progress dashboard
Material upload and library management
Audio-to-notes processing pipeline
Adaptive quiz engine with knowledge gap tracking
AI-powered notes generation from documents and PDFs
Web-based AI study platform
Work Process
1
Discovery & AI scoping
Defined the AI pipeline architecture for three input types - documents, PDFs, and audio. Identified the specific NLP and audio processing models needed. Scoped the adaptive quiz algorithm that would track per-concept performance and generate targeted questions.
2
UX/UI design
Designed the platform around the student study workflow: upload materials → review generated notes → take adaptive quizzes → track progress. Focused on making AI-generated content feel transparent - students can always see which source material each note and question was derived from.
3
Development & AI integration
Built the notes generation pipeline with OpenAI API integration for text extraction and summarization. Developed the audio processing flow for lecture recordings. Built the adaptive quiz engine with concept-level performance tracking and dynamic question generation.
4
Testing & launch
Tested AI output quality with real student materials across multiple subjects. Validated quiz accuracy against source content. Conducted beta testing with students preparing for actual exams and iterated on note quality and quiz difficulty calibration.
Project team
Results
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85%+
Accuracy rate on AI-generated quiz questions validated against source materials during testing
4 months
From discovery to production launch with all three input pipelines (PDF, file, audio) and adaptive quiz engine functional
50%
Reduction in study preparation time reported by beta users compared to manual note-taking and self-created flashcards
3 input types
Notes generation working reliably across PDF documents, uploaded files, and audio recordings - covering the major content formats students use
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