Mobile App for Fall Detection and Elderly Health Monitoring

Executive Summary

The client is a U.S.-based healthcare service provider that offers digitally enabled self-care solutions for individuals who are aging or living with health challenges. They are developing personalized healthcare technology solutions that leverage advanced sensors and artificial intelligence, combined with a human touch, to support the elderly and individuals with specific health conditions.

The client wanted to develop a non-invasive, IoT-enabled health monitoring solution for the elderly to identify incidents such as falls and unusual postures, and track vital signs (heart rate, respiratory rate, body temperature). A critical aspect was providing real-time access via both web and mobile platforms.

eInfochips developed a scalable, cloud-native platform using GCP(Google Cloud Platform) to modernize the client’s health monitoring system for the elderly. The solution enabled real-time alerts, seamless mobile/web access, and reduced reliance on third-party services. With improved accuracy, faster deployment, and lower operational costs, the client achieved greater scalability, reliability, and long-term business agility.

Key Highlights

web mobile featured
  • Hybrid Mobile Application
  • Real-Time Data Ingestion and Alerting
  • Technology Stack
  • Languages and Frameworks: Shift, React, React Native
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