Day 15: Question Difficulty Classification Building Intelligence into Your Quiz Platform
📋 What We'll Discuss & Build Today
Core Implementation:
Multi-dimensional difficulty analysis engine with AI enhancement
Real-time classification API service with sub-200ms response times
Feature extraction pipeline using linguistic and cognitive analysis
Production-ready caching and scalability patterns
Technical Components:
FastAPI backend with Anthropic Claude integration
React frontend with Google Cloud Skills Boost UI design
Comprehensive testing framework (unit, integration, API)
Docker deployment configuration
System Integration:
Building on Day 14's testing infrastructure
Preparing foundation for Day 16's progressive difficulty algorithm
Production considerations for distributed systems
The Real-World Problem
Imagine you're Netflix trying to recommend the right content difficulty, or Duolingo ensuring learners aren't overwhelmed. Manual difficulty assignment doesn't scale when you have thousands of questions being created daily. Our system needs to process questions in real-time while maintaining consistency across different question types.
[ Component Architecture Diagram ]