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Find my supportDemonstration project workflows
Every example below is clearly labelled as a demonstration workflow. It shows the problem, methodology, guidance and expected learning outcome without claiming identifiable client work.
These are demonstration workflows created to explain the mentoring process. They are not presented as completed client projects. Real case studies, results or testimonials will be published only after permission, with confidential identities and data removed.
Detect and classify heterogeneous vehicles while balancing accuracy and inference efficiency.
Identify customers at higher risk of leaving and translate predictions into business action.
Recognise suspicious device activity using authorised traffic data without overstating detection capability.
Detect visible waste conditions and organise outputs for smart-city monitoring.
Evaluate how auditability and explainability can strengthen responsible AI governance.
Turn questionnaire responses into valid findings aligned with business research objectives.
Convert scattered operational data into a concise decision-support dashboard.
Assess and communicate security risk within a controlled and authorised environment.
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Three worked teaching cases
These fictional examples illustrate decisions in mentoring. They contain no client data, measured outcomes or claims of university approval.
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