Smart Asset Tracker & Telemetry Dashboard
🛠Technology Stack Target Hardware: Raspberry Pi 4 Model B Sensing Hardware: ADXL345 (3-Axis Digital Accelerometer) Languages: C++ (Qt 6), Embedded C (Paho MQTT), Bash Protocols: MQTT over SSL/TLS (Port 8883), I2C, JSON Cloud Infrastructure: HiveMQ Cloud Broker Networking: Tailscale Mesh VPN, Pi-hole (DNS Security) The Project Overview Engineered a secure, end-to-end telemetry pipeline designed to monitor and synchronize high-G impact data from edge devices to a centralized monitoring station. This project bridges the gap between register-level sensor interfacing on Linux and high-level data visualization using the Qt framework. The system is hardened with industry-standard encryption to ensure data integrity across public networks. ...