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

1. OCR Service: preprocess (deskew/denoise) → handwriting pipeline → text blocks.