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Achievement: Pull Shark

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Achievement: Pull Shark

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B-MEbrahim/README.md

Oi. Name's Mahmoud.

Listen 'ere. I'm an Electronics and Communications Engineering student spending my days sorting out the bloody mess between hardware architecture and artificial intelligence.

What I'm Up To

  • Current Focus: Building a machine learning pipeline for GNSS spoofing detection in 5G networks for my senior graduation project.
  • Recent Builds: A Formula 1 RAG agent (LangChain, FAISS) and a real-time YOLOv8 waste sorting API.
  • Always Learning: Exploring computer vision, language models and Agents.

Tech & Tools

  • AI & Machine Learning: PyTorch, Scikit-learn, XGBoost, LangChain, OpenCV, vLLM
  • Hardware & Electronics: KiCad, Arduino, Analog/Digital Signal Processing
  • Development: Python, FastAPI, Streamlit, Git


Trash the Dragon

Pinned Loading

  1. F1-QA-RAG F1-QA-RAG Public

    FIA Formula 1 Regulations QA RAG.

    Python

  2. Recycling-Detection Recycling-Detection Public

    Real-time recyclable object detection using YOLOv8 with web interface and REST API

    Jupyter Notebook 1

  3. Telecom-Customer-Churn--Prediction Telecom-Customer-Churn--Prediction Public

    ML-powered customer churn prediction system with FastAPI deployment and Docker.

    Jupyter Notebook

  4. Rain-Prediction Rain-Prediction Public

    This project aims to build a machine learning model that can predict whether it will rain tomorrow based on daily weather data from Australia.

    Jupyter Notebook 1 2

  5. Air-Quality-Prediction Air-Quality-Prediction Public

    Machine learning project to predict C6H6 (benzene) concentration from environmental sensors, deployed via FastAPI.

    Jupyter Notebook

  6. Virtual-Painter Virtual-Painter Public

    A hand-gesture-based virtual painting application

    Python