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🚀 LearnFlow AI: Multi-Agent Learning Platform | Track 3: Agentic Demo Showcase

Discover LearnFlow AI — a next-generation, agentic application designed to turn documents into intelligent learning experiences. Built with a modular multi-agent architecture, LearnFlow leverages the Model Context Protocol (MCP) to deliver personalized content planning, interactive learning, and real-time assessments.

In this demo, you'll explore:

🧠 Planner Agent: Smart semantic chunking and content structuring powered by LlamaIndex and retrieval-augmented generation (RAG).

📚 Explainer Agent: Context-aware explanations, rich markdown rendering, LaTeX support, and seamless PDF export.

✅ Quiz Agent: Automatically generated assessments with instant feedback and intuitive UX for every learning style.

📈 Progress Tracking: Real-time metrics for learning activity and performance analytics.

🔌 MCP Integration: Robust server implementation exposing each AI capability as a reusable MCP tool.

🔄 Cross-LLM Support: Pluggable architecture supporting Mistral and other models through a unified interface.

Deployed on Hugging Face Spaces with Gradio, LearnFlow AI demonstrates an innovative and powerful blend of AI interoperability, technical depth, and learner-centered design.