Gili Katzir developed a hardware-oriented fitness tracking feature for the Automation-Course/Automation_Course_2025B repository, focusing on on-device workout management and real-time user feedback. Using C++ and Arduino, Gili designed firmware that initializes and manages LCD displays, buttons, PIR sensors, LEDs, and buzzers to enable autonomous workout sessions with interactive feedback through melodies and beeps. The work included organizing the firmware repository for better asset management and implementing modular embedded logic for session flow and motion detection. This project demonstrated solid embedded systems and IoT skills, delivering a functional, scalable foundation for hands-free fitness tracking directly on hardware.