👨‍🏫 A smart multi-agent system that creates personalized learning programs, roadmaps, curated resources, and hands-on exercises using AI + Google Docs — in one click.

OUR TEACHING PROFESSOR AGENT

This project automates curriculum creation using AI agents, transforming how learning materials are generated and organized. Instead of manually compiling resources, exercises, and learning paths, our AI Teaching Agent Team collaborates to handle everything seamlessly.

Agentic memory and learning loop system for Claude Code. Layered context with garbage collection, cross-repo transfer learning, and a shared knowledge hive where teammates download and upload intelligence. Checkpoint pushes patterns learned in one repo; bootstrap pulls them into others. Teams stop re-teaching their AI the same lessons.

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Multi-agent education system with Professor, Academic Advisor, Research Librarian, and Teaching Assistant agents. Creates learning packages with Google Docs integration.

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一个基于多智能体系统的AI教学助手

Production-grade RAG Evaluation & Red-Teaming Platform — RAGAS + DeepEval + LangGraph adversarial agent + MLflow tracking on 20 AI/ML research papers. Built as a portfolio project and teaching resource.

An agentic AI dashboard designed to be a teacher's digital assistant. This tool leverages a team of AI agents to automate administrative tasks, generate educational content, and provide data-driven insights, freeing up teachers to focus on what they do best: teaching.