An intelligent multi-agent AI system that creates highly personalized, adaptive learning roadmaps by analyzing your skills, goals, time availability, learning style, and progress.
Unlike basic recommenders, this project uses LLM-powered agents, semantic search (RAG), and collaborative reasoning to build dynamic learning paths that evolve as you learn. This isn't just a recommender — it's an intelligent learning companion.
Compared to basic course recommenders:
- Real AI Agents with collaborative reasoning (not just pandas rules)
- Semantic Search via embeddings & RAG for deep content understanding
- Adaptive Learning Paths that evolve with progress and feedback
- Difficulty Progression to prevent overwhelm
- Conversational Guidance for real-time adjustments
- Rich Visual Feedback (timelines, heatmaps, weekly plans)
- Personalized Roadmap Generation – Tailored to your current skills, goals, and weekly hours
- Semantic Course Understanding – Embeddings + RAG for deep content matching
- Multi-Agent Reasoning – Dedicated agents for profiling, analysis, planning, and validation
- Difficulty-Aware Recommendations – Beginner → Intermediate → Advanced progression
- Interactive Chat Assistant – Ask for adjustments, explanations, quizzes, or easier alternatives
- Weekly Actionable Plans – Breaks roadmap into daily/weekly tasks
- Progress Tracking & Adaptive Replanning – Updates path based on completions and feedback
- Visual Dashboard – Timeline view, progress heatmap, skill gaps, and more
- Explainable Recommendations – Clear "why this course" reasoning with alternatives