9th International Conference on ICT for Sustainable Development

Authors - D.S. Jadhav, Avinash Andhale, Avinash Padale, Anjana Auti, Neha Bokfode, Supriya Mane, Avinash Golande
Abstract - This research introduces an extensive health monitoring solution designed for parents or elderly family members, addressing the challenges of separation due to work. The proposed system is structured into three key stages: hardware, cloud, and a React Native-based mobile application. In the hardware phase, various sensors (MAX30102 for pulse rate and SpO2, DS18B20 for temperature) are intricately connected to the ESP8266 microchip. Utilizing the Arduino IDE, the microchip enables seamless communication, efficiently collecting health data. The ESP8266 WiFi module in the second phase establishes robust communication with Thingspeak cloud, enhancing data comprehensibility through graph visualization on the Thingspeak website. The system ensures data security with a unique API key. In the final phase, meticulously processed data is transmitted to a React Native mobile app, supporting Android platforms. The app features a user-friendly interface with login, signup, and a main home screen displaying health data through a circular progress bar. Abnormal readings trigger push notifications, prompting timely investigation of potential health issues, such as elevated heart rate indicating a possible heart attack. The integrated system provides a secure and user-friendly platform for remote health monitoring, ensuring caregivers receive timely alerts regarding their loved ones' health concerns. The system's combination of hardware, cloud, and mobile application promotes peace of mind and facilitates swift intervention, contributing to an elevated level of care and well-being. The system architecture includes three layers: device layer (ESP8266, MAX30102), cloud layer (data processing and storage), and web app layer (real-time data visualization and alerts). The methodology involves data collection by ESP8266, transmission to Thingspeak cloud via API, and real-time monitoring through the web application.