A robust Python implementation of the Isolation board game featuring adversarial search agents (Minimax and Alpha-Beta Pruning). Includes iterative deepening, heuristic optimizations, comprehensive…

Interactive Project Network Analysis Dashboard using CPM (Critical Path Method) with network diagrams, float/slack calculations, and Gantt chart visualization for project management education and a…

Scientific implementation and evaluation of primal-dual interior point methods for linear programming, including Mehrotra’s predictor-corrector algorithm, with an accompanying PDF report detailing …

Scientific report and Python implementation of the Revised Simplex Method for solving linear programming problems, including worked examples, numerical diagnostics, and performance comparison with …

Solutions, notes, and summaries for the Introduction to Artificial Intelligence course, inspired by UC Berkeley’s CS 188. Covers search algorithms, logic, probability, reinforcement learning, and m…

Course materials, R labs and notes for a Statistical Inference course (MLE, confidence interval, hypothesis testing, and related methods).

A collection of experiments, ideas, and techniques in Generative AI, Agentic AI, and LLM systems.

A hands-on learning hub for API work as an AI Engineer: REST examples, OpenAI API recipes, agentic-AI experiments, Postman collections, and educational .md notes.

A curated collection of learning and career roadmaps: complete guides, learning sequences, templates, and contribution tooling.

End-to-end customer churn prediction project: dataset preparation, experiments with scikit-learn, CI/CD, and deployment examples.

A personal record of Python concepts I explore — from everyday features to advanced techniques. Includes examples, explanations, and deep dives into the language’s inner workings.

A hands-on MLflow project demonstrating experiment tracking, model training, and lifecycle management using Scikit-learn, XGBoost, and Dagshub integration.

A personal collection of Jupyter notebooks, scripts, and resources documenting my exploration and learning in Deep Learning. From foundational neural network concepts to advanced transformer archit…

Comprehensive data governance pipeline for SSH honeypot logs—covering data profiling, cleansing, quality assurance, encryption, classification, and GDPR/CCPA/HIPAA compliance. Built with Pandas, Pa…

A complete pipeline for network intrusion detection comparing label encoding and one‑hot encoding, with SMOTE resampling, feature selection, and ensemble modeling using scikit‑learn and XGBoost, al…

End-to-end pipeline for multi-class cyber-attack detection using per-flow network features: data profiling, deduplication, skew-correction, outlier treatment, feature engineering, imbalance handlin…

A comprehensive archive of coursework, projects, and code developed during my studies at Zewail City University of Science and Technology. Organized by course, each folder houses assignments, pract…

Revision notes and MCQs for DSAI 201 – Data Mining and Information Retrieval. Includes lecture summaries, algorithm overviews, and practice questions to support course preparation and review.

A centralized system for managing ambulance services across multiple hospitals, utilizing data structures to optimize ambulance allocation and improve emergency response times.

A polished, responsive frontend application leveraging ASP.NET Core Razor Pages for comprehensive event management. Provides secure, role-based authentication for attendees, volunteers, organizers,…

A survey web application built with ASP.NET Core 8.0 Razor Pages, enabling users to submit their name and select hobbies through a responsive, server-rendered form.

An interactive web app that fetches the top 20 related papers from Google Scholar (via SerpAPI), builds a citation graph, and renders it in pages of 10 nodes each.

An interactive web-based dashboard for visualizing multinational electronics sales data. This project for the DSAI 203 course integrates a Python/Flask backend with an amCharts frontend to provide …

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

A repository for learning Object‑Oriented Programming in Python and C++17. Features Python projects (Student Management, Banking System, Library Management) and a C++ console‑based Library Manageme…