Building a Multi-Agent AI That Learns How You Learn

Description

What if an AI didn’t just teach you… but actually learned how YOU learn? In this video, we break down our school competition project — a multi-agent AI education system designed to adapt, evolve, and improve over time. Instead of using a single AI model, our system is built on multiple specialized agents: → A Profiling Agent that understands your learning style → A Planning Agent that creates your personalized learning path → Specialist Agents that generate notes, mind maps, and learning resources → A Monitoring Agent that tracks your progress → A Feedback Agent that identifies your weak points and improves the system The result? A self-improving learning loop where the system: learns → tests → analyzes → adapts → and repeats. But we’re facing a serious challenge… When multiple AI agents collaborate, accuracy becomes a critical issue — and in education, even small mistakes matter. So now we’re trying to solve this: How do you make a multi-agent AI system reliable and trustworthy? If you’re working on AI, education, or multi-agent systems — we’d love your thoughts. 👇 Drop your ideas in the comments Follow us on: Insta: https://www.instagram.com/velox_studio_26?igsh=bWx0bDhqeXg0bnY4 X: https://x.com/velox_studio_26 #AI #MultiAgent #EdTech #MachineLearning #AIProjects