Final YearAdvancedWeb 3-4 months
AI-Powered Personalized Learning Platform (LMS)
An adaptive LMS that recommends the next lesson based on each learner’s performance, generates quizzes, and tracks mastery across a knowledge graph of topics.
Next.jsNode.jsPostgreSQLPython (ML service)OpenAI/LLM API
Find GitHub repos & source code →How to build it — step by step
- 1Knowledge graph: Model topics and prerequisites; track per-learner mastery on each node.
- 2Adaptive engine: Recommend the next topic using mastery + difficulty (a simple knowledge-tracing model).
- 3Content + quizzes: Serve lessons and auto-generate practice questions from topic material.
- 4Analytics: Show learners a mastery map and instructors a cohort progress dashboard.
Key features to implement
- ✓Adaptive next-lesson recommendations
- ✓Knowledge-graph mastery tracking
- ✓Auto-generated quizzes
- ✓Learner mastery map
- ✓Instructor analytics
💡 Unique twist to stand out
Add spaced-repetition scheduling that resurfaces weak topics at optimal intervals to maximise long-term retention.
🎓 What you'll learn
Recommendation/knowledge-tracing, graph data modelling, LLM integration, and learning analytics.