client-side-ml

Chrome extension that classifies Sentry errors with in-browser ML. Trains locally, learns from your corrections, zero backend.

SVG-native local AI companion powered by browser-side Transformers.js and ONNX. No Python backend, no hosted inference.

A privacy-first, fully offline neural machine translation application supporting 200+ languages. Built on Meta's NLLB-200 model, this tool runs entirely in your browser without requiring server infrastructure or internet connectivity after initial model download.

Run small LLMs directly in your web browser, no cloud computing needed.

Browser-based clothing classifier using a custom Teachable Machine model with entropy-based confidence filtering (the foundation for PICKyourFIT)

AI-powered personal finance dashboard, Auto-categorizes expenses, predicts spending trends, and provides intelligent insights.

An interactive, browser-based Real-Time Image Classifier using TensorFlow.js. Train a custom neural network entirely client-side using your webcam, complete with live predictions, model exporting.

My portfolio and engineering journal. A statically generated Next.js site with an MDX writing section and a Lab of machine-learning experiments that run entirely in the visitor's browser, with no inference server behind them.