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Smart Elderly CareMonitoring SystemWellness simplified.

Advanced real-time health monitoring ensuring safety and peace of mind for your loved ones.
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"Webelievecaringforthosewhoraisedusshouldbeanactoflove,notasourceofstress.Ourtechnologyactsasagentleguardian,watchingoveryourparents’well-beingsoyoucanstepbackfromtheroleof'caregiver'andsimplyenjoybeingtheirchildagain."
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.

The Thigh Node

The Wrist Node

A lightweight, comfortable wrist wearable designed for 24/7 continuous vital sign tracking, ensuring redundancy.

The Wrist Node

The Edge Gateway

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

The Edge Gateway

Mobile App

Mobile App UI Mockup

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

Proactive "Risky Movement" Detection

Unlike standard alarms that ring after a crash, SoterCare uses Machine Learning to identify "pre-fall" behaviors, such as unsteady attempts to stand, sending proactive warnings to caregivers.

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.

Continuous Vitals Monitoring

A 24/7 health guardian. We monitor Heart Rate and SpO2 in real-time, instantly alerting you to dangerous spikes or drops.

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
Contact Sales
Support

FAQs

Unlike panic buttons that require you to press them after an accident, SoterCare is proactive. It uses AI to detect "risky movements" (like unassisted standing) and alerts caregivers before a fall happens. It also works automatically if the user is unconscious.

Yes. SoterCare has an Offline Safety Mode. The central hub processes alerts locally, triggering instant buzzers and lights for falls even without internet. Data syncs to the cloud automatically once Wi-Fi is restored.

It helps reduce annoying alerts. If you get a false alarm, you can mark it as "False" in the app. This moves it to the Recycle Bin and uses that data to retrain our system, making it smarter and more accurate for you over time.

Yes. To protect dignity, there are no loud "bathroom" alarms. The system detects moisture and sends a private, silent notification to the caregiver’s phone. A small blue light on the hub provides a discreet visual cue.

The thigh and wrist bands work independently. If one battery dies, the other keeps monitoring. For example, if the thigh band stops, the wristband continues to track heart rate and oxygen levels seamlessly.

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

JavaScript, React, Python, C++, Figma, MySQL, Git, Adobe Creative Cloud

daham@sotercare.com
Sanjula Herath

Sanjula Herath

SysInt & Testing Sub Lead

Rust, Python, Go, gRPC, Javascript, Java

sanjula@sotercare.com
Kanchana Wickramarathna

Kanchana Wickramarathna

ML/ALGO Sub Lead

Python, Java, React, Nextjs, OpenAI, LangGraph, LlamaIndex, Helicone

kanchana@sotercare.com
Komudi Senarachchi

Komudi Senarachchi

UI/UX Sub Lead

Figma, Java, JavaScript, Python, C#, Nextjs, React

komudi@sotercare.com
Nimna Solaman

Nimna Solaman

Documentation Sub Lead

Java, Python, React, Nextjs

nimna@sotercare.com
Hirusha Maduranga

Hirusha Maduranga

Mobile Dev Sub Lead

Java, Python, React, Nextjs, Javascript

hirusha@sotercare.com