Y
SchoolTwin AI · Student Dashboard

Yusuf Al-Amin

Grade 8B · Khaldun Academy · AI Track: Junior Innovator

Mission active
Week 7 of 10
Current Mission

GateFlow Twin

Use real school data to build an AI model that improves morning gate safety. Apply prediction, simulation, and fairness analysis — then present your proposal.

Mission progressStep 4 of 6 · 65% complete
Data CollectionAI PredictionWhat-If SimulationFairness Analysis
Do Next
Run the What-If Simulator
Test what happens if Senior Block loses access to Gate 1.
Continue Mission

Mission Steps

GateFlow Twin · 3 of 6 complete

3/6 DONE
ReadingConcept Card: What is a Prediction Model?
DataData Activity: Observation form — Gate A (7:45 AM)
AIAI Step: Build your first prediction in the simulator
SimulationSimulation: Run the What-If SimulatorSTART
FairnessFairness Check: Test trade-offs between student groups
ProposalProposal Step: Write your recommendationAfter step 5

Concept Mastery

Based on activities completed

Data & Features
Strong88%
AI Prediction
Good76%
Simulation
In progress55%
Fairness Analysis
Starting next30%
Human Review
Upcoming18%

Focus this week: Simulation Thinking. Run the What-If Simulator to build this concept.

Project Proposal

GateFlow Improvement Proposal · Team of 4

IN PROGRESS
Problem Statement
COMPLETE
Data Used
COMPLETE
AI Method
COMPLETE
Simulation Result
WRITING
5
Fairness Check
To do
6
Recommendation
To do
Showcase deadline: Week 9 · Fri 22 May
A
Aisha Al-Rashid
School AI Program Lead · 2 hours ago
NEW

Yusuf — your observation notes were excellent. You spotted the van blind-spot before anyone else in G8B. For the simulator step, test what happens to senior students if we close Gate 1. That trade-off is the heart of fairness analysis.

Observation step:4/5
RECOMMENDED NEXT STEP

Open the What-If Simulator and run Scenario B: move Senior Block to Gate 3. Record what changes.

AI Literacy Certificate Progress

Skill milestones · 2 of 5 earned · Khaldun Academy Program

3 milestones remaining
Data Reasoning

Collect, label, and interpret real-world datasets.

Earned
Pattern Detection

Identify meaningful signals in data using AI tools.

Earned
Simulation Thinking

Run what-if scenarios and evaluate trade-offs.

In Progress
Responsible AI

Apply fairness checks and explain AI decisions.

Presentation

Present AI findings and proposals to stakeholders.

Overall certificate progress40%
Upcoming Mission

Canteen Waste Twin

Measure how much food your school canteen wastes each week. Build an AI demand model, simulate a redesigned menu, and pitch a sustainability plan to your principal.

Data CollectionDemand ForecastingSustainabilityStakeholder Proposal
Unlocks Week 9 · 22 May
Complete GateFlow first