Work on Ignacio LD — AI & Mobile Engineering

EdgeMind — On-device Voice Assistant

Fri, 10 Oct 2025 00:00:00 +0000

EdgeMind is an Android voice assistant that runs entirely on the device: no cloud, no account, no telemetry. You hold a button, talk, and a model running locally either answers or calls a tool (timer, calendar, music control, web search, flashlight…). Your voice never leaves the phone.

Why this exists

Open-source voice assistants on Android exist. Dicio is the obvious one and a genuinely good project. But Dicio is built around command grammars and skill plugins: a fixed pattern matcher with handlers wired in. That works really well for “set a timer for ten minutes” and falls off a cliff the moment the user phrases something the grammar didn’t predict.

Glosso Studio — Phoneme-Level Pronunciation Training, Offline

Mon, 01 Sep 2025 00:00:00 +0000

Most pronunciation apps run your speech through speech-to-text and tell you whether the words match. That tells you very little about how you actually sound. Glosso Studio runs your speech through a phonetic recognizer — a wav2vec 2.0 acoustic model, on-device via ONNX Runtime — and gives you feedback at the level of individual phonemes.

You read a sentence. The app shows you which phonemes you nailed, which ones drifted, and exactly where in the word you mispronounced. Over time it tracks your weak phonemes and surfaces them in spaced-repetition drills. There’s a structured curriculum across six difficulty levels, from Beginner to Mastery.

CountIn — Vision-Based Occupancy Tracking in the Browser

Fri, 11 Oct 2024 00:00:00 +0000

CountIn is a browser-based computer vision system that counts people in real time, for occupancy management and crowd analytics. It runs entirely with TensorFlow.js, 100% locally in your browser — no server, complete privacy. Draw virtual counting lines across entrances and exits and it counts every person who crosses them, tracking direction (in versus out).

Why bother

Occupancy counting is usually solved one of two ways: a person with a clicker, or expensive hardware (overhead sensors, dedicated cameras with on-device processing) wired into a backend. The first doesn’t scale; the second costs real money and ships data somewhere.