Projects

Applied AI & machine learning

A selection of applied Artificial Intelligence (AI) and Machine Learning (ML) work — from computer vision to predictive modelling and analytics. Most link to their source code and a fuller case study.

♻️ Waste Classification

TensorFlow EfficientNet-B0 OpenCV

Sorts waste into recyclable, organic, and other categories from images — to make automated recycling faster and less manual.

EfficientNet-B0 transfer-learning classifier
~94% accuracy on the held-out test set

Case study Code

🛰️ Aerial Object Detection

YOLO Transformers Attention fusion

Detects small objects in aerial imagery, where standard detectors tend to struggle — useful for mapping, monitoring, and survey work.

Transformer-enhanced YOLO with an attention-fusion module
Training, evaluation, and ablation studies

📊 HR Analytics

Python Pandas Seaborn

Examines engagement, performance, and pay across a workforce — turning HR data into questions leaders can act on.

Exploratory analysis of engagement and compensation
Identified a 15% pay gap among junior roles

Case study Code

🎓 Student Performance

Scikit-learn Pandas Streamlit

Predicts academic outcomes early enough to act on them — supporting timely, informed intervention rather than replacing judgement.

ML models on behavioural and lifestyle indicators
Interactive Streamlit dashboard for model comparison

Case study Live app Code

📈 Regression Toolkit

Scikit-learn Plotly Random Forest

Trains, compares, and evaluates regression models in one place — so model choice is grounded in diagnostics, not guesswork.

Linear Regression and Random Forest compared with cross-validation
R² 0.88 · RMSE 2.73 on evaluation

Case study Code