AI learning, personalized to exactly the pace of each learner
This project started from a simple idea: AI education shouldn't be either too shallow, or so dense it's only understandable to specialists. There should be a path that adapts itself to each person's real pace and strengths/weaknesses - alongside a real human (a mentor), not just an algorithm.
Radmehr Behmanesh
Founder and designer of this lab
This platform was designed and built as a fully working MVP to show how combining precise knowledge tracing, memory-science-based spaced repetition, and human mentoring can keep the AI/robotics learning journey both scientific and human.
Why we built this lab
Learning without wasted time
No one should re-read from scratch a concept they already know, or be pushed forward on one they aren't ready for yet. The path should move with you.
AI plus a human, not instead of one
An algorithm can tell you where you're stuck; but it's a real mentor who reviews your code, gives feedback, and steers your path at the moments that matter.
Accessible to everyone, everywhere
No heavy paywall, no geographic restriction on payment - because learning AI shouldn't be a matter of geographic privilege.
This is an honest MVP
All demo data (students, papers, platform stats) exists to showcase the system's real capabilities. But the adaptive learning engine, the knowledge-tracing logic, spaced repetition, and the full lesson to exam to certificate flow all run for real, live - nothing behind these parts is simulated or fake.