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Achievement: Pull Sharkx2Achievement: Starstruck

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Achievement: Pull Sharkx2Achievement: Starstruck

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sayedgamal99/README.md
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🚀 About Me

name: Sayed Gamal
location: Cairo, Egypt
current_role: AI Engineer @ Noursoft
education: Computer Engineering - Mansoura University
passion:
  [
    "Artificial Intelligence",
    "Machine Learning",
    "Problem Solving",
    "Innovation",
  ]
current_focus:
  ["LLM Applications", "Computer Vision", "MLOps", "System Architecture"]
fun_fact: "I've solved 450+ coding problems and led teams of 200+ participants!"

I'm passionate about creating intelligent systems that make a real difference. With hands-on experience in AI and machine learning, I love turning complex problems into practical solutions. and I always start by understanding the problem deeply before building. This mindset helps me deliver results that truly matter.

Featured Projects

DriveMate: Multi-Agent Voice Assistant Flare Guard: Real-Time Smoke Fire Detection And Alert System
DriveMate is a multilingual AI assistant with natural dialogue and personality profiling that adapts to user preferences. Designed for ADAS systems, it delivers personalized, context-aware voice interactions and leverages tool integrations to enable hands-free driving. With intelligent long term memory, it enhances user experience and safety by supporting seamless, voice-driven control. Flare Guard uses real-time computer vision for instant fire and smoke detection with real-time alerts. Trained YOLOv11 on 10,000+ images, it provides fast, reliable early warnings for safety-critical environments via Telegram and WhatsApp.
The Parasiter: Microscopic Image Classification Customer Churn Prediction Analytics
The Parasiter leverages deep learning for accurate microscopic parasite classification, making expert diagnostics accessible. It classifies 15 parasite species, features a user-friendly interface, Docker deployment, and live Azure hosting. This project enables banks to predict customer churn using an ensemble of XGBoost, LightGBM, and CatBoost, achieving 0.891 AUC. It includes a full ML pipeline, real-time Flask Web app, and Docker deployment for actionable business insights.

Technology

Python Pandas NumPy Matplotlib Seaborn Scikit-Learn OpenCV YOLO
TensorFlow PyTorch Hugging Face OpenAI LangChain LangGraph LlamaIndex SmolAgents
vLLM Ollama FastAPI Flask Streamlit Gradio Postman n8n
Dify Azure Docker PostgreSQL SQLite MongoDB Qdrant Git
GitHub Linux Jupyter HTML5 CSS3 JavaScript

📈 GitHub Stats

GitHub Stats
GitHub Streak
Contribution Graph

Ready to turn ideas into reality? Let's connect and create something extraordinary!

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  1. Real-Time-Smoke-Fire-Detection-YOLO11 Real-Time-Smoke-Fire-Detection-YOLO11 Public

    Flare Guard is an AI-powered system designed to instantly detect and report fires and smoke.

    Python 62 10

  2. Plant-Disease-Classifier Plant-Disease-Classifier Public

    A deep learning-based web application that diagnoses diseases in plant leaves using convolutional neural networks (CNNs).

    Python 3 4

  3. Digit-Recognizer-APP Digit-Recognizer-APP Public

    This project implements a Convolutional Neural Network (CNN) to classify handwritten digits from the MNIST dataset. The trained model is deployed as a web application using Streamlit, allowing user…

    Jupyter Notebook

  4. Microscopic-Medical-Parasitology-Classification Microscopic-Medical-Parasitology-Classification Public

    This repository focuses on classifying microscopic images of parasites using deep learning. It features a dataset of 15 parasitic classes, enhanced by Keras's image preprocessing and transfer learn…

    Jupyter Notebook 1

  5. Predicting-Bank-Customer-Churn-using-Machine-Learning Predicting-Bank-Customer-Churn-using-Machine-Learning Public

    This repository contains a machine learning project aimed at predicting whether a bank customer will churn (close their account) based on various features such as credit score, age, tenure, account…

    Python

  6. Titanic-Survival-Prediction-Advanced-Techniques Titanic-Survival-Prediction-Advanced-Techniques Public

    This project aims to predict the survival rates of passengers aboard the Titanic using the Titanic dataset. The analysis follows a structured approach, encompassing data exploration, preprocessing,…

    Jupyter Notebook