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.
🏥 A Modern and Resilient DHIS2 Client with Built-in WHO-DQR Validation for LMICs
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.
Programmable smart device for smart homes, IoT applications, wearable devices, robotics and more...
IoT based patient health monitoring system using Arduino and generic ESP8266. The proposed project can collect and send patient’s health data.
"BRACU CSE360: Computer Interfacing" Laboratory Project - Fall 2020
Patient Health Monitoring System Using ESP32
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.
Toolbar application that leverages OpenCV's powerful computer vision capabilities and MediaPipe's pose detection to create an intelligent posture monitoring system. Running discreetly in your system tray, it provides real-time feedback and gentle reminders when your posture needs attention.
Track and visualize your blood test results over time with AI-powered data extraction
The first CLI tool to manage multiple AI coding sessions with real-time health monitoring and token tracking
A Smart Livestock Health Monitoring System based on Internet of Things
🩺 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.
Agentic AI assistant for proactive AWS Health Event management and impact analysis
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.
An attempt to make the patient monitoring system easier given the doctor to patient ratio and unavailability of enough nursing staff
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