zeba_academy_recommendation_engine 1.0.0

AI-driven adaptive learning recommendation engine for Flutter EdTech apps with weak topic detection, mastery tracking, adaptive difficulty adjustment, and personalized learning paths.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog principles.

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1.0.0 - 2026-03-05

🎉 Initial Release

✨ Features

• Weak Topic Detection based on accuracy threshold
• Adaptive Difficulty Adjustment (auto increase/decrease)
• Personalized Learning Path generation
• Next Lesson Suggestion engine
• Performance-Based Recommendation messages

🏆 Mastery System

• Mastery score calculation (0–100 scale)

• Weighted scoring (70% accuracy, 30% speed)

• Mastery Levels:

  • Beginner
  • Intermediate
  • Advanced
  • Expert

📊 Architecture

• Clean modular structure (models + engine separation)
• Lightweight and dependency-free core logic
• Production-ready example app with AI dashboard UI

🧪 Testing

• Unit tests for:

  • Weak topic detection
  • Adaptive difficulty logic
  • Performance message generation
  • Mastery level calculation

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Upcoming

🚀 Planned for 1.1.0

• AI score prediction model
• Performance trend tracking
• Confidence scoring system
• Student ranking system
• Firebase analytics export support

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Notes

This package is part of the Zeba Academy Flutter SDK ecosystem, designed for building intelligent EdTech applications.