14. 📸 Handwriting OCR + Quiz
Overview
Capture students’ handwritten notes or textbook excerpts, convert to text, then auto-generate multiple-choice quizzes to reinforce retention.
Primary Use Cases
- Students reviewing lecture notes by self-testing
- Tutors creating custom quizzes from whiteboard snapshots
- Teachers scanning assignments to auto-produce practice tests
Key Features
- Image upload or camera capture of handwritten pages
- Handwriting OCR (printed & cursive) → plain text
- Quiz-generation: question stem + 4 answer choices
- Answer-explanation: concise rationale for correct answer
- Quiz history with performance stats
Tech Stack
- Frontend: React + TypeScript (capture UI, quiz interface)
- Backend: FastAPI (Python)
- Database: Firebase or PostgreSQL for storing user quizzes and scores
- AI Models:
- Handwriting OCR:
microsoft/trocr-handwritten
- Quiz generation & distractor creation: fine-tuned
t5-small
or GPT-3.5 via HF
Architecture
- OCR Service: preprocess (deskew/denoise) → handwriting pipeline → text blocks.