Session by session
- Session 11 · Ask & understandWeek 6
Classification and non-personal data
Evidence: a question, sketch or new vocabulary
- Session 12 · Build & designWeek 6
Collect two object classes and an other class
Evidence: a design draft, dataset or build
- Session 13 · ImplementWeek 7
Train a no-code image model
Evidence: a working version, explained once
- Session 14 · Test & improveWeek 7
Test changes in background and distance
Evidence: a test log with at least one failure
- Session 15 · Explain & reflectWeek 8
Write a simple model card
Evidence: an individual explanation
- Computer
- camera aimed at objects
- model tool
Fifteen held-out images; report errors by class.
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
- RoboticsG07-P01
Distance Beacon
A distance indicator with calibrated thresholds.
Sessions 01-05All plans - RoboticsG07-P02
Multi-Sensor Alert
An object/motion alert model with explicit decision logic.
Sessions 06-10All plans - AIG07-P03
Object-Only Vision Lab
An object classifier with a recorded unknown/other class.
Sessions 11-15All plans - IntegratedG07-P04
AI Parcel-Check Gate
A supervised model gate where AI classifies objects and a person authorises movement.
Sessions 16-20All plans
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.