DeadZone Drill: offline flashcards that only work when you walk away from the internet
The pitch in one sentence DeadZone Drill turns your study notes into a spoken flashcard drill you run on a walk , with a local open-weight model writing and grading the cards — no account, no API key, no internet. The problem I actually had I revise with flashcards, and flashcards are a screen activity: sit down, stare at a card, tap "again". Studies on recall and the challenge's own framing kept…
DeadZone Drill is a new tool that turns study notes into a spoken flashcard drill you can run while walking, with a local open-weight model writing and grading the cards—no account, API key, or internet required. The creator of the tool struggled with flashcards that required sitting down and staring at a screen. However, they found that they learn better when they are moving, and they typically sit too much. The tool aims to make the walk itself the study session, instead of trying to improve the desk setup.
The workflow of DeadZone Drill is simple: notes are sent to a local Gemma 3 model via Ollama, which generates JSON flashcards. The cards are then pulled while walking, with offline TTS speaking each question. The user answers out loud and self-grades by pressing a key, or types their answer for model grading if a Whisper build is available. Schedule updates are managed using a Leitner scheduler, all of which runs entirely on the user's machine.
The tool emphasizes open-source principles, allowing it to function without an internet connection and providing flexibility for users to choose different Ollama models. The entire setup runs on standard Python libraries, with no additional runtime dependencies. The app also includes features like pre-rendering audio and a grass streak tracking system to monitor days spent studying outside.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
