CLOUDFLARE EDGEINFRA COST $0ALLERMOI · ON-DEVICE GEMMAMRPIPE · DRY-RUN + ROLLBACKMANILA 14.6°N 121.0°EENFORCEMENT GATES ACTIVECONTEXT ENGINE RUNNING
IN DEVELOPMENT · ANDROID
AllerMoi

AllerMoi

Walk into your doctor appointment with data instead of guessing.

BUILD STATUS IN DEVELOPMENT
on-device model running
encrypted local database
seasonal + weather correlation
antihistamine reminders
device validation in progress
Play Store release pending
0
HEALTH DATA UPLOADED
<30s
TO LOG A FLARE-UP
3
PH SEASONS TRACKED
ONCE
YOU PAY, NO SUBSCRIPTION
01 · THE PROBLEM

Allergies are a pattern problem.

Most people know they react to something. Far fewer know which something, or when. The trigger and the symptom are separated by hours, the weather changes underneath both, and by the time the appointment comes around nobody remembers what last Tuesday looked like.

So the consultation starts from memory. The doctor asks what sets it off and the honest answer is a shrug. AllerMoi exists to replace that shrug with a history: what happened, how bad, what you ate, what you took, and what the weather was doing.

Tracking apps already exist. Nearly all of them ship your symptom history to a server so a model somewhere else can find the pattern. For health data that trade is worse than it sounds, and it is a large part of why people quit logging after a week.

02 · HOW IT WORKS

Log, correlate, surface.

01

Log in under thirty seconds

Symptom chips, a severity slider, and weather captured automatically. Logging happens during an active reaction, so if it takes longer than the flare-up it does not get done twice.

FAST ENTRY
02

Correlate against Philippine conditions

Entries are matched against food, medication, environment, and local weather across Tag-init, Tag-ulan, and Amihan. Seasonal allergy advice written for a four-season climate does not describe the year here.

PH SEASONS
03

MoiAI spots the pattern

The on-device assistant reads your own logged history and names what it finds: a moderate link between humidity and your symptoms, a food that keeps appearing the day before a flare. It is a pattern spotter, not a chat companion.

ON-DEVICE AI
Flare-free streak scorecard
Frequency, severity, and trigger charts
Antihistamine timer and smart reminders
Safe, suspected, and confirmed food list
Season risk level tracker
Emergency protocol for severe reactions
03 · PRIVACY

Your symptoms stay on your phone.

The language model runs on the device. Your entries are stored in an encrypted local database, and no symptom history is synced, uploaded, or handed to an analytics pipeline. There is no account required to use it.

The app makes exactly one kind of outbound call: fetching local weather so the correlation has something real to correlate against. That request carries weather, not you.

If a health app has to phone home to be useful, it was built wrong.

04 · WHAT IT WON'T DO

Not a medical device.

AllerMoi is a tracker. It logs behavior, spots patterns, and hands you a history. The diagnosis belongs to your doctor, and the app is built so it cannot quietly drift into that role.

BOUNDARIES
Does not Diagnose a condition
Does not Prescribe or change a dosage
Does Append a see-a-doctor disclaimer in code, not from the model, so it cannot be argued away or omitted
05 · SCREENS

In the hand.

AllerMoi flare-up logging screen
Log a flare-up. Four steps, symptom chips, weather captured automatically.
AllerMoi insights screen
Insights. Frequency, severity, triggers, and time of day across 7d to 1yr.
AllerMoi MoiAI screen
Degrades gracefully. On a phone without the RAM for the model, MoiAI turns itself off and everything else keeps working.
06 · STACK

Under the hood.

ARCHITECTURE
Kotlin Multiplatform + Jetpack Compose
ON-DEVICE AI
Gemma 3 1B (int4) via LiteRT-LM, ~4 GB RAM
STORAGE
Room + SQLCipher, encrypted at rest
WEATHER
OpenWeatherMap over Ktor
CHARTS
Vico, Compose-native
PLATFORM
Android first, iOS on the shared module

More proof

ALSO IN PRODUCTION

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