A quality system that turns data into decisions you can verify, with interactive dashboards, a 3D branch map, management-ready reports, and an AI assistant.
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 98.8% test accuracy across 43 sign types, with voice alerts from video. |  A custom CNN checks each face in live video. |
 YOLOv3 flags people standing too close. |  Labels everyday objects in images and video. |
 An image pipeline for faulty or non-faulty items. |  Extracts the main colors of an image with K-Means. |
 Combines prices with news sentiment and compares 5 models. |  Shows where profit comes from across about 10,000 orders. |
 Tests common beliefs across 756 matches. |  Trends across 170,000+ recorded incidents. |
 Predicts scores from study hours, with an average error of 4.13 marks. |  Finds 3 natural groups without using labels. |
 A classifier whose decisions you can read. |
| Area | Skills |
|---|---|
| Languages | Python, JavaScript, HTML, CSS |
| AI and deep learning | CNN design, image augmentation, model evaluation, LLM integration |
| Computer vision | OpenCV, YOLO, real-time video processing |
| Machine learning | Regression, classification, clustering, time series, sentiment analysis |
| Data analysis | Data cleaning, aggregation, statistics, data visualization |
| Web development | Django, data modelling, role-based permissions, automated testing |
Tools: TensorFlow/Keras · scikit-learn · OpenCV · pandas · NumPy · Matplotlib · Seaborn · XGBoost · LightGBM · Django · pytest · Apache ECharts
بالعربي
مهندس ذكاء اصطناعي. أبني منتجات ذكاء اصطناعي وبيانات، من النماذج إلى الواجهات التي يستخدمها الناس.
الاختصاصات: الرؤية الحاسوبية، التعلم العميق، تعلم الآلة، معالجة اللغة والنماذج اللغوية، تحليل البيانات، ومنتجات الويب المدعومة بالذكاء الاصطناعي.
أبرز أعمالي نظام مراقبة الجودة: يحوّل البيانات إلى قرارات يمكن التحقق منها، بلوحات تفاعلية وخريطة ثلاثية الأبعاد للفروع وتقارير جاهزة ومساعد ذكي.
Source code is private. Each project page presents what it does, how it works, and its results.