
Ecenur Sevinchan developed a Smart LED Lighting System for the EgeMobil/EEM_TASK repository, focusing on embedded systems and C programming. She implemented a motion-detection driven finite-state machine, managing transitions between idle, motion_detected, light_on, and timeout states. The system simulated PIR sensor input and updated LED states in real time, ensuring predictable and standardized behavior for downstream testing. Released as part of version V1.9.2, her work established a robust foundation for future multi-zone and energy-efficient lighting features. This project demonstrated depth in state machine design and embedded C, addressing the need for reliable, testable smart lighting control logic.
For 2025-03, delivered a Smart LED Lighting System for EgeMobil/EEM_TASK. Implemented a motion-detection driven finite-state machine with states idle, motion_detected, light_on, and timeout, including a PIR input simulation and LED state updates. Release aligned with V1.9.2 to standardize behavior and enable downstream testing.
For 2025-03, delivered a Smart LED Lighting System for EgeMobil/EEM_TASK. Implemented a motion-detection driven finite-state machine with states idle, motion_detected, light_on, and timeout, including a PIR input simulation and LED state updates. Release aligned with V1.9.2 to standardize behavior and enable downstream testing.

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