AI-Powered Preventive Health

Detect health risks 24–48 hours before symptoms appear.

Health Anomaly Tracker learns your body's unique biometric baseline from your smartwatch and uses multi-sensor AI to spot the earliest signs of infection, cardiovascular strain, and oxygen anomalies — before you feel a thing.

Apple HealthKit Android Health Connect Multi-device support
MON · 09:41
Heart Rate
72bpm
HRV
38ms
SpO₂
97%
Temp
37.4°
Early signal detected
72 bpm
97% SpO₂
37.4°C
7h 12m
Connected Ecosystem

Every device you own, one intelligent brain

Health Anomaly Tracker unifies smartwatches, rings, phones, and chest straps into a single continuous stream — then makes sense of it.

AI Engine
Baseline · Fusion · Alerts
Smartwatch
HR · HRV · SpO₂ · Temp
Smartphone
Motion · GPS · Sleep
Smart Ring
Sleep · Recovery · Temp
Chest Strap
ECG · Real-time HR
Fitness Band
Steps · Calories · HR
Silent background sync

Devices push data via HealthKit & Health Connect — no manual export, no app switching.

Unified biometric stream

Every metric is normalized, timestamped, and correlated on a single physiological timeline.

Privacy-first

Health data stays encrypted end-to-end. You choose what to sync, what to keep local.

Bring your own device

Apple Watch, Galaxy Watch, Fitbit, Garmin, Oura, Whoop — no lock-in, no new hardware.

Live Demo

See the AI think in real time

Switch between everyday scenarios and watch how the same signals get interpreted differently.

MON · 10:24LIVE
Status
All signals within baseline
Heart Rate
68bpm
HRV
62ms
SpO₂
98%
Skin Temp
36.6°C
Motion
5%
Scenario: At Rest

Your baseline, at a glance.

Your body is in its normal resting range. No action needed.

Heart Rate68 bpmWithin range
HRV62 msWithin range
Skin Temp36.6°CWithin range
AI Verdict
All signals within baseline
Core Features

A complete preventive health platform

Nine capabilities that turn passive wearable data into actionable early warnings.

Universal Wearable Sync

Apple Watch, Galaxy Watch, Garmin, Fitbit — unified through HealthKit and Health Connect.

Continuous Biometric Capture

HR, HRV, SpO₂, skin temperature, sleep, motion — synced silently in the background.

14-Day Baseline Learning

The AI observes your body first, building a personal physiological fingerprint before alerting.

AI Anomaly Detection

Compares live signals to your own history — not one-size-fits-all medical thresholds.

Multi-Sensor Fusion

Correlates HR + HRV + temp to catch infection, arrhythmia, and hypoxia patterns early.

Smart Context Filtering

Accelerometer + gyroscope suppress workout noise so alerts only fire when they matter.

Health Dashboard

Health score, daily status, trends, and recovery insights in one clean view.

Actionable Alerts

Every alert ships with risk level, possible cause, trend summary, and recommended action.

Historical Analytics

Daily, weekly, and monthly reports with baseline comparison and improvement trends.

How it works

From raw signals to early warnings

Four stages turn continuous wearable data into a personal early-warning system.

STEP 01
Ingest

HealthKit & Health Connect sync

STEP 02
Baseline

14-day personal profile

STEP 03
Fuse

Multi-sensor correlation

STEP 04
Alert

Context-aware notification

Baseline Learning

Your personal normal, mapped

Day 14/14

The system observes your biometrics for 14 days to learn your unique physiological range before any alert fires.

Day 1 Your range TodayDay 14
Sensor Fusion

Signals combine into meaning

One elevated metric is noise. Coordinated shifts across signals are a story.

Resting HR
72%
HRV
32%
Skin Temp
78%
Motion
12%
Possible respiratory infection
HR ↑ · HRV ↓ · Temp ↑ · Low motion → early warning
Unique Selling Points

Why it's different

Traditional health apps use fixed thresholds. We learn you.

Personalized, not populational

Static thresholds miss individual physiology. We learn your normal and detect deviations from you.

Multi-sensor, not single-signal

One elevated metric is noise. A coordinated shift across HR, HRV, and temperature is signal.

Hardware-agnostic

No proprietary device lock-in. Any HealthKit or Health Connect wearable works out of the box.

Context-aware alerts

Motion-filtered anomaly detection dramatically reduces false positives from exercise.

Technology Stack

Built for scale, privacy and precision

Mobile

  • React Native
  • iOS + Android
  • Native HealthKit bridge
  • Health Connect SDK

Backend

  • Node.js REST APIs
  • PostgreSQL
  • Secure cloud infrastructure
  • Encrypted health data storage

AI / ML

  • Personalized anomaly models
  • Multi-sensor fusion engine
  • Context-aware classifiers
  • Baseline drift adaptation
Multi-Sensor Detection

Early indicators across four health domains

Respiratory

Early flu, viral, and respiratory infection indicators.

HRHRVTemp

Cardiovascular

Arrhythmia trends, irregular beats, cardiac strain.

HRIBIECG*

Oxygen

Nocturnal drops, sleep apnea patterns, hypoxia risk.

SpO₂Sleep

Metabolic

Blood sugar and metabolic irregularities (future).

CGM*HRRecovery
Business Value

Preventive health, measurable ROI

24–48h
Earlier detection

Catch physiological anomalies well before symptoms surface, enabling proactive care.

↓ 70%
Fewer false alarms

Context filtering and multi-sensor fusion keep notifications signal, not noise.

Devices supported

Works with any wearable a customer already owns — no hardware purchase required.

Target markets

Consumers & Fitness Users
Daily wellness insight without medical-grade friction.
Chronic-risk & Elderly Users
Silent monitoring with meaningful early warnings.
Corporate Wellness Programs
Measurable outcomes for employee health investments.

On the roadmap

ECG analysis
Blood pressure integration
CGM (glucose) support
Doctor & clinician portal
Family health monitoring
Emergency contact alerts
AI health recommendations
PDF health reports

Start catching what symptoms hide.

Bring Health Anomaly Tracker into your product, wellness program, or clinical workflow.