NYC Trip Duration Project

• Predicts trip durations in New York using 10 features and 1M training samples.
• Best model achieved with XGBoost Regressor — F1-score: 76% (Val) & 72% (Test).
• Frontend built with Streamlit and backend powered by FastAPI.

Credit Card Fraud Detection

• Classifies fraudulent transactions using 31 features and 56,960 examples (with 28 anonymized).
• Handled high class imbalance (0.172% positive ratio) focusing on F1-score and recall.
• Achieved top performance with Random Forest: Val_F1 = 89%, Test_F1 = 80%.

Superstore EDA

• In-depth EDA of the Superstore Dataset using a Jupyter Notebook, covering sales, profit, categories, regions, and customer segments.
• Uncovered performance trends and feature relationships to drive actionable business insights.
• Visualizations highlight patterns across time, geography, and product lines.

Mini_Rag Application

• Built a minimal, educational RAG (Retrieval-Augmented Generation) question answering system.
• Integrated LLMs, vector databases, and backend tools like FastAPI, Docker, Celery, and PostgreSQL.
• Step-by-step guidance included for learning purposes.

Job Application Tracker

• Automated job application tracking system built with n8n.
• Monitors Gmail for sent applications and incoming replies, logs everything to Google Sheets.
• Sends instant Telegram notifications — with zero manual data entry.

AI Newsletter Digest

• Pulls articles daily from 5–10 RSS feeds (tech, news, niche topics) via n8n.
• Sends each article to an AI to produce a 2-sentence summary, then groups them by topic.
• Delivers a structured, noise-free digest straight to your email every morning.

Social Media Content Pipeline

• Automated content pipeline built with n8n transforming raw ideas from Obsidian into platform-specific posts.
• Generates optimized content for LinkedIn, Facebook, and X (Twitter).
• Includes a human-in-the-loop review step before publishing to ensure quality and control.

Customer Support Auto-Responder

• AI-powered n8n workflow that classifies incoming support emails automatically.
• Instantly replies to FAQs in under a minute while escalating complex cases to human agents.
• Maintains full context and logs for efficient support handling and team collaboration.
• Overview: Reduces manual triaging for small teams by automating repetitive support tasks while preserving human oversight.

Will It Rain On My Parade?

• Backend for a weather likelihood app reporting chances of adverse conditions (heat, cold, rain, wind, humidity) for a user-selected location and date.
• Built with Laravel 11 (PHP 8.2), PostgreSQL, and the Open-Meteo forecast & geocoding APIs; supports city name or lat/lon input up to +14 days ahead.
• Personal role: weather data analysis and insights extraction.

ShurYan — The Digital Bloodline of Healthcare

• Developed during the ZagTech Hackathon, focusing on both technical AI features and healthcare business strategy.
• As AI Engineer, implemented a system-wide AI chatbot, AI-powered medical lab summaries, and dynamic patient record updates.
• Team Achieved 🥇 1st Place in the initial pitch and 🥉 3rd Place in the final pitch.
• Team: Abdulrhman Alaa & Mahmoud Akl & Ahmed Diab.

Ask Me App

• Interactive Python console app where users ask questions and receive structured responses.
• Follows clean project architecture, virtual environment isolation, and Python best practices.
• Modular codebase designed for readability and easy extension.

Contact Management System

• C++ system to store, update, delete, and manage contact details efficiently.
• Leverages a custom templated Array data structure for dynamic storage.
• Advanced features include reverse sorting and persistent save/load to file.

Employee Manager

• Python console project with a clean separation of concerns across EmployeeManager.py and FrontEndManager.py.
• Backend handles all business logic for managing employee records.
• Frontend layer provides a user-friendly console interface.

Expedia Project

• Python travel-management console app structured with dedicated backend, frontend, and driver.py entry point.
• Simulates booking and itinerary management workflows.
• Clear layered architecture separating data logic from user interaction.

Library Management System

• Python library app split across BackEndLibrary.py, FrontEndLibrary.py, and LibraryManager.py.
• Handles book cataloguing, borrowing, and returning operations.
• Includes a dedicated test file (LibraryManager_Tests.py) for unit validation.

Payroll Project

• Python payroll system covering employee records, invoice generation, and payroll printing.
• Modular design across Employees.py, Invoices_Payroll.py, Payroll_Printing.py, and Validations.py.
• Input validation layer ensures data integrity throughout the workflow.

Hospital Management System

• Python hospital management app structured into backend, frontend, models, and tests layers with a main.py entry point.
• Manages patient records, appointments, and hospital operations with full test coverage.
• Documented with detailed project spec PDFs included in the repository.