A self-hosted homelab dashboard with an optional built-in reverse proxy that makes stubborn apps work in iframes
Android example showing Bluetooth communication with Xiaomi Mi Band 2. Demonstrates device pairing, data syncing, activity tracking, heart rate monitoring, and notification handling. Provides reference code for wearable device integration.
Non-contact real-time heartbeats and respiration monitoring using Artificial Light Texture (ALT).
An asynchronous BLE Heart Monitor library with support for additional data from Polar monitors (ECG, accelerometers, etc)
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Smart Health Band | 智能健康手环 A comprehensive IoT health monitoring solution featuring real-time vital signs tracking, wireless data transmission, and mobile app integration. Built with STM32 microcontroller and multiple sensors.
🏥 A Modern and Resilient DHIS2 Client with Built-in WHO-DQR Validation for LMICs
Programmable smart device for smart homes, IoT applications, wearable devices, robotics and more...
Track and visualize your blood test results over time with AI-powered data extraction
Professional Battery RUL Prediction System with Advanced Machine Learning - Predicting Remaining Useful Life (RUL) and State of Performance (SOP) of lithium-ion batteries using LSTM, Transformer, and Ensemble models with 95%+ accuracy. Features real-time analytics dashboard, REST API, and production-ready deployment.
IoT based patient health monitoring system using Arduino and generic ESP8266. The proposed project can collect and send patient’s health data.
Patient Health Monitoring System Using ESP32
"BRACU CSE360: Computer Interfacing" Laboratory Project - Fall 2020
Kubernetes-native Service Entry Portal — auto-discovers Ingress and HTTPRoute resources, generates a real-time dashboard with health monitoring and brand icons
A wearable edge-cloud IoT research prototype for real-time construction worker safety monitoring, integrating physiological sensing, fall-risk detection, HRV-based fatigue analysis, MQTT telemetry, and AWS cloud processing.
A Smart Livestock Health Monitoring System based on Internet of Things
Agentic AI assistant for proactive AWS Health Event management and impact analysis
The first CLI tool to manage multiple AI coding sessions with real-time health monitoring and token tracking
🩺 Smart Health Monitoring System with ESP32, AI Analytics & Real-time Dashboard Real-time heart rate and SpO2 monitoring system using ESP32 sensors, AI-powered health analysis, and modern web technologies. Features secure device authentication, personalized health recommendations, and comprehensive data visualization.
The Java Health and Fitness Tracker App is a comprehensive desktop application designed to help users monitor and manage their health and fitness routines. Built with Java, it enables users to log exercises, track nutritional intake, set personal fitness goals, and visualize their progress over time.
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