Fresh Computer Science graduate from Qassim University, focused on AI & Machine Learning, Computer Vision, and Software Engineering. I enjoy the challenge of turning ideas into functional applications that can make a difference.

• Computer Science graduate — Qassim University
• Building with AI / ML, Computer Vision, and embedded systems
• Comfortable across Python, Java, C/C++, Dart & Flutter
• Featured work: AI VISION VIAD — assistive smart glasses for the visually impaired
• Bilingual interfaces (English / العربية)
• Ask me about computer vision, TensorFlow Lite, or Raspberry Pi projects

Areas:  🤖 AI & Machine Learning  •  👁️ Computer Vision  •  💻 Software Engineering  •  📟 Embedded / IoT 📚 Current Learning Deep learning for vision — model optimization & on-device inference (TensorFlow Lite). Sensor fusion & real-time systems on Raspberry Pi. Production-grade software engineering & clean architecture.

VIAD — Visually Impaired Assistive Device
Wearable AI smart glasses built on a Raspberry Pi that help visually impaired users perceive their surroundings.

• 🧠 On-device object detection with TensorFlow Lite + SSD-MobileNet.
• 📡 Sensor fusion — detections fused with HC-SR04 ultrasonic distance sensing for obstacle awareness.
• ☁️ Cloud assistant powered by Gemini 2.5 Flash for richer scene understanding.
• 🗣️ Bilingual voice interface — natural English / Arabic audio feedback.