DAP yearbook
AY25/26 cohort
- Projects
- 5
Projects
Area
Computer vision
2 projectsColour Season AnalysisA Computer Vision tool that analyses a facial photo, predicts one of four seasonal colour types, and extracts the dominant colours from the user’s skin, eyes, and lips.Distracted Driver DetectionA computer vision model that detects distracted drivers and classifies their behaviour into one of ten distraction categories.
Classic ML
3 projectsSinging ScorerAn ML model trained to evaluate singing performances using objective criteria like pitch accuracy and vocal stability — because human judgment is subjective.AlphaZero CheckersA checkers AI trained through reinforcement learning and self-play, combining a residual neural network with Monte Carlo Tree Search to choose its moves.F1 Qualifying PredictorAn XGBoost model that uses Formula 1 free-practice statistics to predict where a driver may qualify on the grid.
Build a machine learning project
The Data Associate Programme teaches machine learning in a cohort. Each team builds a project and presents it at the end of the semester.