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marksamfd/README.md

Hi 👋, I'm Mark Samuel

A passionate ML Engineer from Egypt

  • 🌱 I’m currently learning Transformers, NLP, GenAI

  • 👯 I’m looking to collaborate on BCI related projects

  • 👨‍💻 All of my projects are available at marksamfd.github.io

  • 📫 How to reach me [email protected]

  • 📄 Know about my experiences Resume

Languages and Tools:

android chartjs css3 electron express flask git html5 javascript linux mysql nodejs opencv pandas postgresql python pytorch react reactnative scikit_learn seaborn sqlite tensorflow typescript

Most Favorite Projects:

Stats:

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  1. haneenalaa465/Explainable-AI-for-Skin-Cancer-Detection haneenalaa465/Explainable-AI-for-Skin-Cancer-Detection Public

    Skin cancer detection using ML and DL on the HAM10000 dataset, with a focus on model interpretability through XAI techniques like Grad-CAM, SHAP, and LIME to address the research gap in explainabil…

    Jupyter Notebook 3

  2. YouAttend YouAttend Public

    A cross-platform, local-first React Native app for face recognition-based attendance tracking. Powered by Facenet with TFLite and ONNX frameworks (Java implementation), and stores attendance data …

    TypeScript

  3. YoloEye YoloEye Public

    Forked from estebanuri/pub-yolo-android

    Minimalist way to integrate YOLO in Android

    Kotlin 1

  4. aadhamashraf/Robot-Path-Planning aadhamashraf/Robot-Path-Planning Public

    Interactive Python project for solving mazes using pathfinding algorithms like BFS, DFS, A*, Genetic Algorithm and Q-Learning. Features GUI visualization, maze generation, and performance comparisons.

    Python 1 2

  5. mhealth-classification mhealth-classification Public

    A machine learning project for classifying mobile health activities using sensors. Implements models like KNN, SVM, Logistic Regression, and Neural Networks.

    Jupyter Notebook

  6. Data-Analysis-Dashboard Data-Analysis-Dashboard Public

    : A data visualization dashboard for analyzing company performance trends over time. Built with Python, Flask, and AmCharts to deliver interactive and insightful visualizations.

    JavaScript