Hajar Ou

Implemented neural networks for object and person detection on Altera Cyclone IV FPGA for ADAS, delivering real-time inference on embedded hardware.

Designed an 8-unit intelligent vehicle monitoring system for engine, battery, and climate control using LAUNCHXL F28069M, improving telemetry and diagnostics capability.

Developed a computer vision system to identify plant diseases from images, enabling rapid automated diagnosis for agricultural applications.

Built an autonomous thermometer and clock system with Raspberry Pi and sensors to monitor environmental conditions in real time.

Activities and societies: Final Year Project (3D Smart Factory): implemented neural networks for object and person detection on Altera Cyclone IV FPGA for ADAS.

Specialized Master in Embedded Systems for Industrial Applications at ENSA Agadir, focused on FPGA implementation and AI-powered embedded hardware. Final year project implemented neural networks for object and person detection on an Altera Cyclone IV FPGA for ADAS.

Professional License in Instrumentation and Systems from Ecole Supérieure de Technologie Guelmim, covering instrumentation and control system fundamentals.

University Diploma of Technology in Electrical Engineering from Ecole Supérieure de Technologie Agadir with focus on electrical systems and practical engineering coursework.

Scientific Baccalaureate (Physics-Chemistry) from Al Wahda High School, Tiznit.