From data collection to gesture-controlled robots — our 9 progressive projects take students from "What is AI?" to "I built AI!" step by step.
Every project follows the SENSE → THINK → DECIDE → ACT framework. Start from the top and grow at your own pace.
Collect real-world data from sensors and observe patterns over time. Understand how machines gather and interpret information before learning.
Build a multi-condition logic system using layered decision rules — the foundation of structured computational thinking and ML models.
Build your first programmable robot and master structured movement logic. Watch your decision-tree thinking come alive in a physical machine.
Design a rule-based traffic automation system using structured logic and multiple sensor inputs — your first multi-input AI system.
Create a rover that follows a path using real-time sensor feedback — the foundation of all autonomous navigation systems.
Build a robot that detects and avoids obstacles independently — making real-time decisions without any human input.
Design a rover with precision object placement for school competitions — combining navigation, avoidance and delivery into one system.
Train a simple AI model using custom data and connect predictions to robotic movement in real time — where robotics meets machine learning.
Collect gesture data, train a model, and control your robot using real-time AI-based gesture recognition — the ultimate project.
More than products — a real AI education that makes students fall in love with technology and problem solving.
No lectures, no worksheets. Students build real devices and learn AI concepts naturally through making.
Nine carefully sequenced projects grow with your child — from basic sensing to neural networks.
Advanced projects meet the standard required for science fairs, STEM competitions and innovation showcases.
AI literacy is becoming essential across every field. Starting early creates a lasting advantage.
A progressive path from first sensors to advanced AI — designed for students Grade 4 through 10.
Projects 1–2: How machines gather data, spot patterns and make first rule-based decisions.
Projects 3–5: Bring logic to life with robots, traffic systems and line-tracking rovers.
Projects 6–7: Autonomous robots that avoid, deliver and compete in real STEM events.
Projects 8–9: Train neural networks on your own data and control robots with real AI.