MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
Over a thousand evidence-graded protocols for a longer, calmer, happier life. Your body is a blueprint with eight systems; every protocol is a mod you try on yourself for 14 days, and the lab shows wh
HealthKotlin · PythonGitHub @bigdevwhaleOnlineOwner unconfirmed
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Over a thousand evidence-graded protocols for a longer, calmer, happier life — each tried on you for 14 days before it enters your firmware. Offline Android app.
Taken from the repository README
Loading the full README.
Read the full README ↗There are thousands of tips for sleep, fitness, food, stress and happiness, and only some of them will work for you. Biohacker draws your body as a blueprint with eight systems and turns every protocol into a mod. Put a mod on trial, take five quick readings a day, and after two weeks the lab shows whether it moved anything. You decide: install it, or reject it. Free, no ads, no account, no internet.
Biohacker summarises research. It is not medical advice. If you have a condition, are pregnant or take medication, check with your doctor.
./gradlew testDebugUnitTest assembleDebug
./gradlew -Pdemo assembleDebug # app.biohacker.demo with seven weeks of trials already run
./gradlew testDebugUnitTest -Prender --tests '*RenderArt*' # screens to app/build/art, icon to docs/logo.png
python tools/check_content.py # validates the catalogue in app/src/main/assets/content
The blueprint is drawn in code (ui/art/Blueprint.kt): a spline outline, organs in dashes, a clock dial round the head, hubs with leader lines, traces to every node. Sounds (relay click, stamp, tape tearing, install chime) are synthesised on first launch. The catalogue's rules are in docs/CONTENT.md.
Fonts: IBM Plex Mono and Manrope, both under the SIL Open Font License.