Session by session
- Session 31 · Ask & understandWeek 16
Confusion matrix and class balance
Evidence: a question, sketch or new vocabulary
- Session 32 · Build & designWeek 16
Read actual/predicted labels
Evidence: a design draft, dataset or build
- Session 33 · ImplementWeek 17
Calculate per-class error counts
Evidence: a working version, explained once
- Session 34 · Test & improveWeek 17
Compare thresholds and abstention rate
Evidence: a test log with at least one failure
- Session 35 · Explain & reflectWeek 18
Explain the cost of different mistakes
Evidence: an individual explanation
- Local Python
- P03 prediction CSV
Check counts by hand; use a fixed held-out set.
A model, an evaluation study or an AI-checking workflow.
Completion needs the artefact, an honest test log, an individual explanation and no open safety or privacy issue.
Projects in the same block
- RoboticsG10-P05
Gripper Test Rig
A gripper mechanism with a documented safe operating envelope.
Sessions 21-25Builder and up - RoboticsG10-P06
Four-Joint Arm Assembly
A four-servo arm with calibrated mechanical limits.
Sessions 26-30Builder and up - AIG10-P07
Model Evaluation Notebook
A model-evaluation notebook with transparent calculations.
Sessions 31-35Builder and up - IntegratedG10-P08
AI Pick-Location Demonstrator
A supervised vision-to-arm demonstration using bounded pose names.
Sessions 36-40Builder and up
For school leadersChoose a starting point.
Build from evidence.
Pick the classes and a plan. We map the timetable, kit and safety checks with you, then pilot one class first.
- Prospectus and class-wise plan
- Kit and readiness check
- Pilot one class first
- Evidence at every milestone
Let's plan your pilot.
Share a few details and we will send the right plan for your classes.