I am a Moroccan Embedded AI researcher and the inventor of SafeMotion, an innovative wearable device that leverages Edge AI to detect and prevent falls in the elderly with 98% accuracy. specializing in embedded systems and artificial intelligence. My work on SafeMotion, a project born from personal concern for my grandmother, has been recognized with a Gold Medal at Diginnov 2026 (BRICS & Belt and Road), the Best Project Award from Hassan II University, 2nd Prize at CNIORI-25 (National IoT & Intelligent Robotics Competition), 3rd Prize at SNEE 7 (National Student Entrepreneur Status), and two Certificates of Excellence. As President and trainer at CRIOT Club (Robotics, IoT & AI), I have trained over 150 students in emerging technologies and organized scientific events including Robotics Day. I am a speaker at international conferences such as Falling Walls Lab Morocco (2026), SOLAIRE EXPO MAROC (2026), and TEDxUH2C, and have been a panelist on AI evolution, limits, and perspectives in relation to hardware development. My expertise spans Edge AI & TinyML (TensorFlow Lite optimization for microcontrollers, model quantization, pruning, and compression), embedded systems (ESP32, Raspberry Pi, Arduino, FPGA), deep learning (LSTM, Transformers, NLP), and IoT (real-time data acquisition, anomaly detection, BLE, LoRa, RFID). I hold certifications from Huawei (HCIA-AI V3.5, HCIA IoT, HCIA 5G, HCIA Networking) and Cisco (CCNA Introduction to Networks, Introduction to Cybersecurity, Introduction to IoT, Python Essentials 1, Ethical Hacker Advanced). My vision is to use Edge AI as a lever for innovation to create accessible, ethical, and high-impact technological solutions in Africa and worldwide, firmly believing that the constraints of embedded systems are an opportunity to develop frugal, sustainable intelligence.