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AbdullahAhmed04/README.md

Hello there 👋, I'm Abdullah Ahmed

BSAI Student | AI & Machine Learning Specialist | Computer Vision | Big Data Analytics

🚀 About Me

  • 🔭 Currently working on: Developing the Huntington Prognosis Framework, an AI-driven initiative for medical disease prediction and analysis using advanced datasets.
  • 🌱 Currently learning: Natural Language Processing (NLP), Computer Vision, Big Data technologies (Spark), and Parallel & Distributed Computing (PDC).
  • 💬 Ask me about: Building end-to-end Machine Learning pipelines, Python development, and creating intuitive, interactive interfaces with Gradio.

🛠 Technical Toolbox

Languages Python SQL Java C++

AI/ML & Data Science Scikit-learn spaCy Pandas NumPy

Deep Learning & Computer Vision PyTorch TensorFlow OpenCV Ultralytics YOLO U-Net Semantic Segmentation Instance Segmentation

Big Data PySpark

Tools & Frameworks Gradio Joblib Google Colab Kaggle GitHub

📫 Let's Connect

Email LinkedIn

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  1. OmniCart-Analytics-AI OmniCart-Analytics-AI Public

    Enterprise Big Data + RAG assistant: PySpark SQL engine + Qdrant vector search, orchestrated by a LangChain agent via Groq

    Jupyter Notebook

  2. Land-Cover-Classification-YOLO Land-Cover-Classification-YOLO Public

    Instance segmentation of satellite imagery for land cover classification using YOLOv8-seg. Trained on DeepGlobe dataset (6 classes, mAP50 0.335, 49 FPS). Includes 4 controlled experiments and an in…

    Jupyter Notebook

  3. fraud-detection-pyspark fraud-detection-pyspark Public

    PySpark fraud detection pipeline (Logistic Regression, Random Forest, GBT) with a custom Flask dashboard for threshold/cost analysis, per-transaction explainability, and batch risk triage on the UL…

    Jupyter Notebook

  4. Land-Cover-Classification Land-Cover-Classification Public

    Semantic segmentation of satellite and aerial imagery for land cover classification using U-Net + ResNet-50. Trained on DeepGlobe (7 classes, mIoU 0.637) and LandCover.ai (4 classes, mIoU 0.798). I…

    Jupyter Notebook

  5. Resume-Screener-NLP Resume-Screener-NLP Public

    An AI-powered NLP tool that automatically categorizes resumes into 24 job sectors using Spacy and Random Forest. Features a Gradio interface for real-time PDF text extraction and classification

    Jupyter Notebook