All work — Machine learning — 2026

Meme Detector

An image classification pipeline trained to recognise meme formats from a curated dataset.

Runs natively — not a browser app Ask me about this

The problem

Format recognition needs data that doesn't exist in a clean dataset.

How I approached it

Built the dataset and training pipeline together so labelling decisions and model behaviour could be revised in step.

The outcome

A working classifier over a self-built corpus.

Meme Detector

Next project

Wi-Fi Disruption Mapper →

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