A real-time web application for patient monitoring using ReactJS, NodeJS, ExpressJS, MongoDB, and Raspberry Pi.

IoT Healthcare Security Code and Dataset

VibeOut: An emotion-aware fitness platform that combines ESP32-based heart rate & SpO2 monitoring with AI emotion detection to deliver personalized workouts that adapt to both physical metrics and emotional state, creating a more effective and sustainable fitness experience.

CareLink is a resilient clinical IoT ecosystem for real‑world bedside monitoring, nurse workflows, and emergency alerts. Designed to operate even in unstable network conditions, it ensures continuous communication between patients and staff.

Embedded heart-rate and SpO2 monitoring system on Arduino Nano with MAX30102, real-time on-device signal processing, validity-gated inference, and LCD telemetry.

A real-time IV fluid monitoring system using ESP32, HX711 load cell, MQTT, and InfluxDB. Tracks fluid level, flow rate, and alerts medical staff via Wi-Fi and web visualization.

Multiposition heart sound analysis

Thiết bị theo dõi chỉ số cơ thể sử dụng ESP32 và cảm biến MAX30102 để đo nhịp tim và SpO₂. Dữ liệu được hiển thị trên màn hình OLED SSD1306 và gửi lên Blynk để theo dõi từ xa. Hệ thống có thể ứng dụng trong giám sát sức khỏe cá nhân.

A simple pulse rate monitoring system using Arduino, a pulse sensor, and an LED indicator. It reads heartbeat signals, calculates BPM (beats per minute), and provides real-time feedback.