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SoterCare elderly care monitoring system - IoT wearable devices and AI dashboard
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Proactive Elderly CareMonitoring System

Wellness simplified.Advanced real-time health monitoring ensuring safety and peace of mind for your loved ones.
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"Webelievethatcaringforparentsshouldbelove.Ourtechnologycanlifteveryworrybywatchingovertheabsolutetruthoftheirsafety.Now,dropthatweightandsimplybetheirchildagain."
Tech Stack
Next.js
React Native
NestJS
Flask
PostgreSQL
TensorFlow
Raspberry Pi
ESP
Next.js
React Native
NestJS
Flask
PostgreSQL
TensorFlow
Raspberry Pi
ESP
Product

IoT Devices

The Thigh Node

A discreet, upper-thigh wearable that monitors body motion and hygiene, acting as the primary guardian for detecting falls and incontinence.

SoterCare Thigh Node wearable - fall detection and incontinence sensor

The Edge Gateway

The intelligent central hub with a dashboard that processes machine learning models locally, ensuring instant alerts and offline safety.

SoterCare Edge Gateway - local AI hub for offline fall detection and alerts

Mobile App

SoterCare mobile app showing real-time vitals, fall alerts, and health summaries for elderly care

Recycle Bin

A unique "Human-in-the-Loop" feature that allows caregivers to flag false alarms—such as a heavy sit-down mistaken for a fall—moving them to a recycle bin to retrain the AI model.

AI-Powered Summaries

Integrates a Large Language Model (LLM) to instantly convert complex sensor data into clear, natural language reports.

Real-Time Vitals

Provides an immediate, high-visibility snapshot of the user's current status by displaying live Heart Rate, Blood Oxygen (SpO2), and Body Temperature.

Password-less Auth

Lowers the technical barrier for elderly or non-tech-savvy caregivers by replacing complex passwords with simple One-Time Passwords (OTP) and Google Sign-In.

Data Export

Empowers caregivers to share accurate, data-driven insights with healthcare professionals by generating downloadable PDF or CSV reports.

System Timeline

Offers complete transparency by logging not just health incidents but also system reliability events like "Gateway Disconnected".

Features

Core Features

Gait Analysis ML Model

A unified Machine Learning model that monitors movement and posture transitions. It specifically detects when a patient is attempting to stand up or sit down, sending real-time alerts to caregivers to prevent accidents during high-risk transitions.

AI-Powered Health Summaries

We convert complex data into simple English. Integrated LLM generates daily summaries.

Instant Hard Fall Detection

For immediate safety, we use a high-speed Threshold-Based Algorithm to detect sudden impacts and hard falls instantly.

Quick Web Dashboard Access

Access your health data instantly from any device. Log in to our secure web dashboard for detailed analytics, historical data, and real-time vitals monitoring.

Discrete Hygiene Management

Real-time urinary incident detection using conductivity sensors. Alerts are sent discreetly.

Smart Alert Management

Reduce false alarms with our "Recycle Bin." Easily flag incorrect alerts to retrain the system.

Pricing

Simple Pricing, No Surprises

Early Bird

Get the SoterCare Kit

The essential hardware to keep your loved ones safe. Includes the Thigh Node, Wrist Node, and the Edge Gateway for seamless, offline-ready monitoring.

$329One-time payment

We are still under development, so the pre-order is not available yet.

Choose your subscription plan

Free

$0/mo

Essential monitoring for peace of mind.

  • Real-time monitoring
  • Mobile app access
  • Basic fall alerts
  • Standard support

Pro

$3.29/mo

Advanced insights for proactive care.

  • Everything in Free
  • AI Health Summaries
  • Risk Prediction Models
  • 30-Day History
  • Priority Alerts

Enterprise

Custom

Under development. Available for commercial level elderly nursing homes.

  • Everything in Pro
  • Dedicated Support
  • Unlimited History
  • API Access
  • Multi-user Management
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Support

FAQs

The model identifies risky movements with 97.65% accuracy. It triggers haptic vibrations in the thigh node, allowing users to self-correct their posture before an actual fall occurs.

No, SoterCare is camera-free. It uses motion sensors and conductivity clips to protect user privacy and dignity while providing 24/7 monitoring without invasive visual surveillance.

Yes. Critical alerts process locally on the Raspberry Pi 5 gateway. This "Edge-First" approach ensures fall and hygiene detections function with near-zero latency even during Wi-Fi outages.

Real-time conductivity clips detect moisture instantly. This replaces slow chemical sensors and invasive manual checks, allowing caregivers to respond immediately while fully preserving the user's dignity.

The hardware kit costs under $150. A premium subscription for AI-generated health summaries and advanced clinical analytics is available for approximately $1.99 per month.

Our Team

Meet the Minds Behind SoterCare

We are a passionate group of developers, designers, and engineers dedicated to transforming elderly care through innovative technology.

Daham Dissanayake

Daham Dissanayake

Team Lead & IoT Sub Lead

Project Management, Gait Analysis ML Model build, IoT prototyping and soldering, Web site handling, Gateway backend build

daham@sotercare.com
Sanjula Herath

Sanjula Herath

Backend & Mobile Sub Lead

Mobile app building, App backend building, Testing and deployment, Microservices

sanjula@sotercare.com
Komudi Senarachchi

Komudi Senarachchi

UI/UX Sub Lead

Mobile UI Design, 3D model building, Mobile app frontend development, Documentation

komudi@sotercare.com
Kanchana Wickramarathna

Kanchana Wickramarathna

Agent Development

Agent development, RAG system implementation

kanchana@sotercare.com
Hirusha Maduranga

Hirusha Maduranga

Mobile Development

Mobile frontend development, Web SEO, Documentation

hirusha@sotercare.com
Nimna Solaman

Nimna Solaman

Documentation

Documentation

nimna@sotercare.com