Smart Elderly Care: An Intelligent Elderly Care Management System Based on Large Models and IoT

Project Basic Information

• Project Name: Smart Elderly Care (zzyl)
• Original Author/Maintainer: ranhanjin-design
• Source Platform: GitHub
• Original Link: https://github.com/ranhanjin-design/zzyl
• Release Time: June 15, 2026

Core Content Summary

Smart Elderly Care is an intelligent elderly care platform developed based on the RuoYi framework and MyBatis-Plus. It integrates generative AI to realize intelligent health check assessment, supports Huawei Cloud IoTDA IoT device access, and achieves real-time dual-end data synchronization between the management terminal and mobile terminal via WebSocket. Its aim is to improve the quality of elderly care services and reduce operational costs through technical means.

With the acceleration of global population aging, traditional elderly care models face huge challenges such as rising labor costs, shortage of nursing staff, and increasing demand for elderly health management. The Smart Elderly Care project emerged as a comprehensive solution, aiming to improve the quality of elderly care services and reduce operational costs through technical means.

Basic Framework

Adopts the RuoYi framework, built on Spring Boot, providing user permission management (RBAC), menu-button level permission control, code generator, and other functions, focusing on business logic development.

Data Access Layer

Uses MyBatis-Plus as the ORM framework, offering non-intrusive CRUD encapsulation, powerful condition constructors, pagination plugins, and other extensions.

Core Functions

1. Large Model Intelligent Health Check Assessment: Generative AI realizes health questionnaire analysis, physical examination report interpretation, personalized health plans, medication reminders, and contraindication checks.
2. IoT Device Access: Integrates Huawei Cloud IoTDA platform, supporting wearable devices, environmental monitoring, safety monitoring, sleep monitoring, and other devices, with real-time data upload via MQTT protocol.
3. Real-Time Dual-End Synchronization: WebSocket technology realizes real-time data synchronization between the management terminal and family APP (emergency call push, abnormal alarm, nursing record update).

Automated Operation and Maintenance

Docker containerized deployment, CI/CD pipeline, Nacos configuration center, Prometheus+Grafana monitoring, reducing implementation costs.

Home Care

Elderly people wear smart devices, and their children can remotely check health status via the APP and get timely notifications of abnormal situations.

Community Care

Community service centers use the management backend to coordinate services for elderly people in the area and dispatch nursing staff for home visits.

Institutional Care

Nursing homes use the system for admission management, nursing scheduling, and health record management to improve operational efficiency.

1. Front-End and Back-End Separation Architecture: Management backend and mobile terminal evolve independently.
2. Cloud-Native Design: Based on Huawei Cloud services, supporting elastic scaling.
3. AI Empowerment: First application of large models in elderly care health assessment scenarios.
4. Open Ecosystem: Standardized device access protocol, supporting third-party device expansion.

With the continuous enhancement of large model capabilities and the popularization of IoT devices, smart elderly care will change from an "optional" to a "must-have" option. This open-source project provides a reference model for more developers to enter the smart elderly care field.