Internet connected car stereo with obd 2 and remote start.
Reads and logs information from a vehicles ECU Raspberry Pi and an ELM 327 USB to OBDII cable.
It is a tool to monitor the presence of acetone in our breath. It uses gas sensor MQ-135, 1.3inch OLED display, DHT22 & Arduino Uno.
A handheld MODBUS-RTU Master using STM32 and Ada.
Monitor the health of the vehicle and diagnose any potential problem securely, using Azure Sphere and Microsoft Azure cloud services.
Measuring and tracking walking patterns with the goal of detecting and diagnosing injuries and chronic conditions.
This project is predicts the kidney disease for the diabetic patients by given data
