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NLPure

First-place text toxicity detection project from McGill CodeJam.

A text toxicity detection project built with machine learning and a lightweight web interface.

NLPure project logo
Kerasscikit-learnReactNode.js

What it does

NLPure focused on detecting toxic language and turning a machine learning workflow into a usable product experience.

It was a compact project, but a useful demonstration of combining model work with practical delivery constraints.

Why it matters

The project reflects an early pattern in my work: taking technically interesting systems and shaping them into something understandable for end users.

It also gave me experience working across ML tooling and product implementation in the same build cycle.

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