Inspiration
Access to real-time health monitoring is limited, especially in rural or remote areas. People often lack affordable tools to track heart rate, body temperature, and proximity alerts for safety. Early detection of abnormal vitals can prevent serious health issues.
What it does
The SRGOI Health Monitor is an IoT-based system that tracks heart rate, temperature, humidity, and proximity in real-time. Data from sensors is sent to a Blynk dashboard, allowing users to monitor vitals remotely from a mobile or web app. It helps in preventive health monitoring and ensures timely alerts for abnormal readings.
How we built it
Hardware: ESP8266 NodeMCU, MAX30102 (heart rate), DHT11 (temperature & humidity), Ultrasonic sensor (proximity). Software: Arduino IDE, Blynk IoT Platform for cloud dashboard. Process: Sensors collect data → ESP8266 processes → sends to Blynk virtual pins → visualized on dashboard.
Dashboard: Gauges for each vital, optional charts, and notifications for alerts.
Challenges we ran into
Ensuring accurate readings from MAX30102 sensor and filtering noise. Real-time data update to Blynk dashboard without delay. Coordinating multiple sensors on ESP8266 without performance issues. Designing a simple, clear, and informative dashboard layout.
Accomplishments that we're proud of
Built a fully functional IoT health monitor that streams live vitals to a dashboard. Integrated multiple sensors (MAX30102, DHT11, Ultrasonic) on a single microcontroller. Created a dashboard interface that is user-friendly and visually clear. And we think our project is the very helpful and useful to most of the mid-aged people to maintain their time and also take care of their health
What we learned
How to interface biomedical sensors (MAX30102) with ESP8266. Sending real-time data to the cloud (Blynk) and visualizing it effectively. Basics of IoT dashboards and connecting multiple sensor data streams. Practical problem-solving when combining hardware and software in a single project.
What's next for SRGOI Health Monitor – IoT Real-Time Vitals Dashboard
Add real notifications for abnormal readings (SMS/email/Push). Incorporate data logging for long-term health tracking. Expand to mobile app integration with alerts and history. Explore AI-based analysis to predict potential health issues from trends.
This can be implemented in public which makes a big impact and help people in many ways
Built With
- arduino)
- blynk
- c++
- dht11
- esp8266
- i2c
- max30105
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