01
Machine learning & AI
From data and fundamentals to intelligent systems.
AI ENGINEERING STUDENT & DEVELOPER
AmmarTahoon.
Building intelligence.
Making it useful.
I am building practical AI and software projects across machine learning, deep learning, computer vision, NLP, desktop tools, and modern web interfaces.
10th of Ramadan City, Egypt OPEN TO LEARNING & COLLABORATION
SCROLL TO EXPLORE Machine learningPORTFOLIO / 2026
IDEAS INTO SYSTEMSPythonTensorFlowOpenCVReactC# / .NET
01 / THE PERSON BEHIND THE CODE
Curiosity, turned
into something useful.
Ammar TahoonAI Engineering Student
I am an AI Engineering student focused on learning and building across the main AI tracks, with special interest in machine learning, deep learning, computer vision, and NLP.
My goal is to grow as a well-rounded AI Engineer by building practical projects that connect intelligent models with useful real-world applications. I keep expanding my skills through hands-on work, continuous learning, and a strong interest in the full AI landscape.
CURRENT CHAPTERFirst year. Full curiosity.
First-year university student focused on AI engineering and practical project building.
THE APPROACHLearn it. Build it. Explain it.
Practical projects, strong fundamentals, and useful interfaces.
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AICurrent Focus
06Projects
1stUniversity Year
ActiveLearning Path
01
Build strong programming and math fundamentals before chasing advanced models
02
Turn learning into small working projects that can be tested and explained
03
Document the problem, tools, decisions, and lessons behind each project
04
Connect AI logic with usable interfaces so projects are easier to understand
My learning focus +
- Machine learning and deep learning fundamentals
- Computer vision and NLP exploration
- C# desktop and simulation projects
- Modern web interfaces for AI ideas
02 / MY EVOLVING TOOLKIT
Different tools.
One builder’s mindset.
Learning across the AI landscape, from the model to the interface.
02
Computer vision
Exploring how machines understand the visual world.
03
Natural language
Building an understanding of language and text.
04
C# & desktop
Practical tools, simulations, and desktop experiences.
05
Modern web
Connecting technical ideas with usable interfaces.
06
Tools & data
The toolkit behind the experiments.
A closer look at the tools +
Python Core
My main language for building AI projects, experimenting with models, and solving practical machine learning problems.
Machine Learning AI/ML
Training and applying machine learning models to turn data into useful predictions and intelligent systems.
Deep Learning AI
Exploring neural networks and deep learning workflows for building more advanced intelligent systems.
TensorFlow Framework
Using TensorFlow to build, train, and experiment with deep learning models for practical AI tasks.
OpenCV Computer Vision
Working with OpenCV for image processing, visual analysis, and computer vision project implementation.
Computer Vision AI
Working on image-based AI tasks such as detection, recognition, and visual understanding.
NLP AI
Exploring natural language processing to build systems that understand, analyze, and work with text.
React Frontend
Building clean and interactive web interfaces to present AI products and smart applications in a usable way.
03 / SELECTED WORK
Less theory.
More “I built this.”
A collection of experiments, tools, and platforms. Each one, a step forward.
01 / Web Platform2026
datacamp_student_club↗DataCamp Student Club Platform
Production-grade educational web portal empowering university AI & Data Science students with an in-browser WebAssembly Python compiler, live Google Gemini AI mentor, and interactive learning tracks.
Explore the project
The challengeUniversity students exploring AI and data science often encounter complex local Python setup hurdles, lack instant code feedback, and need bilingual guidance aligned with their university curriculum.
The approachBuilt a comprehensive web platform for the DataCamp Student Club at Innovation University. Features a client-side WebAssembly Python sandbox (Pyodide), the NEXUS AI bilingual mentor powered by Google Gemini with live Firestore context, and gamified student progress milestones.
Project notes
- In-browser Python without server
- Bilingual RAG AI Mentorship
- Full Auth & Progress Tracking
Outcomes
- Eliminated local setup friction for new club members entering data science
- Delivered zero-latency Python code execution entirely in the browser
- Adopted as the official student club operating portal at Innovation University
02 / Simulation2026
circuit_sim_pro↗CircuitSim Pro - Physics Simulator
Interactive Windows desktop physics simulation suite for modeling electrical circuits, evaluating real-time Ohm's law parameters, and plotting oscilloscope current signals.
Explore the project
The challengePhysical laboratory equipment is costly, fragile, and not always accessible to students studying electrical circuits and basic circuit physics.
The approachDeveloped CircuitSim Pro, an intuitive Windows desktop application providing a virtual sandbox where students can connect power sources, resistors, switches, and lamps while observing instant electrical responses.
Project notes
- Real-time Ohm's Law Solver
- Oscilloscope Signal Canvas
- Sub-millisecond Physics Loop
Outcomes
- Enabled safe, interactive experimentation with electrical circuit parameters
- Bridged theoretical Ohm's law equations with visual, real-time feedback
- Demonstrated high performance and responsive desktop engineering in .NET 9
03 / AI Systems2026
smartmall_ai_os↗SmartMall AI OS
Intelligent operating system architecture designed to automate commercial retail spaces with AI-driven inventory prediction, automated customer flow analysis, and smart workflows.
Explore the project
The challengeCommercial shopping centers operate on fragmented, manual systems that fail to anticipate shopper density, optimize inventory, or automate emergency and energy protocols.
The approachDesigned SmartMall AI OS, an architectural concept and operational blueprint unifying sensory inputs, predictive machine learning pipelines, and automated facility event responders.
Project notes
- Multi-service Architecture
- Automated Retail Triggers
- Predictive Analytics Core
Outcomes
- Formulated end-to-end blueprint for smart commercial operations
- Demonstrated deep cross-disciplinary knowledge spanning systems architecture and AI
- Engineered scalable modular components ready for IoT and edge deployment
04 / AI & Desktop2026
ai_quest_engineer_path↗AI Quest: Engineer Path
Gamified desktop application that transforms the journey of becoming an AI Engineer into an RPG learning adventure, covering 8 roadmap worlds from Python foundations to Agentic AI.
Explore the project
The challengeSelf-learning modern AI Engineering is overwhelming and prone to tutorial hell without a clear, structured roadmap and tangible milestones.
The approachCreated AI Quest, a local-first desktop application combining deep educational roadmaps with RPG gamification mechanics (XP, boss challenges, achievement badges, and leveling).
Project notes
- 8 Worlds & 39 AI Topics
- RPG Progression & XP Engine
- Full Bilingual Arabic/English
Outcomes
- Provided structured guidance for aspiring engineers to track AI milestones systematically
- Turned tedious syllabus tracking into an engaging, gamified daily habit
- Bridged Arabic-speaking learners with international cutting-edge AI engineering standards
05 / Desktop Utility2026
base_calc_2↗Base Calculator & Number Systems Converter
High-speed Windows desktop application for converting between Binary, Octal, Decimal, and Hexadecimal, featuring chained multi-operand arithmetic across mixed number systems.
Explore the project
The challengeComputer science students and systems engineers need fast, accurate multi-base arithmetic with transparent step-by-step validation during digital logic and assembly learning.
The approachBuilt a dedicated WPF .NET 9 desktop calculator allowing users to enter numbers in any base, perform chained calculations, and see results simultaneously across all four major bases.
Project notes
- Simultaneous 4-Base Output
- Chained Mixed-Base Arithmetic
- Step-by-step Math Breakdown
Outcomes
- Accelerated verification of low-level numbering conversions for students
- Delivered a fluid, keyboard-optimized desktop tool with instant calculation times
- Reinforced core algorithms and desktop application fundamentals in C#
06 / Game Dev2026
dino_game_pro↗Dino Game Pro
High-performance 60 FPS endless runner desktop game for Windows built natively in C# and WPF, featuring custom procedural obstacle generation and score tracking.
Explore the project
The challengeDemonstrating that WPF and .NET desktop frameworks can maintain smooth 60 FPS game-loop rendering and low-latency input handling without full game engines like Unity.
The approachConstructed a native Windows implementation of the classic endless runner, implementing custom collision detection, progressive speed curves, and persistent score storage.
Project notes
- Native 60 FPS Loop
- Procedural Spawning Engine
- Sub-5ms Input Latency
Outcomes
- Demonstrated desktop animation and game loop capabilities in pure WPF
- Delivered a fun, responsive desktop game with instant startup time
- Strengthened understanding of frame pacing, memory allocation, and event handling in .NET
04 / HOW I THINK & BUILD
From a question
to a working answer.
Frame the Problem
Define what the project should solve, who it helps, and what a successful result should look like.
Choose the Tools
Select the language, framework, model approach, and data flow that fit the project level and goal.
Build and Test
Implement the core logic, test edge cases, improve the interface, and keep the project understandable.
Document the Learning
Summarize the challenge, decisions, outcome, and next improvements so the project tells a clear story.
AI Learning Projects
Building practical experiments that strengthen machine learning, deep learning, and model evaluation fundamentals.
- Problem framing
- Model experimentation
- Clear project documentation
Computer Vision Experiments
Exploring image processing and visual understanding with tools such as Python, OpenCV, and deep learning frameworks.
- Image processing basics
- Detection and recognition workflows
- Visual project prototypes
Web and Desktop Interfaces
Creating interfaces that present technical ideas clearly, from React portfolio pages to C# desktop tools and simulators.
- Responsive web interfaces
- WPF and C# desktop apps
- Clean user flows for technical projects
05 / EDUCATION & EXPERIENCE
At the beginning.
Going somewhere.
Building a foundation at university. Putting it to work beyond the classroom.
University Student
Innovation University, 10th of Ramadan City, Egypt
Currently studying at Innovation University and building a strong foundation in programming, problem-solving, and modern software development while preparing to specialize in AI.
- Building core technical foundations through university study
- Preparing to specialize in Artificial Intelligence
- Combining academic learning with practical project building
AI Learning Path
Self-Directed Development
I am actively exploring the main AI tracks through personal practice and project building, with growing focus on machine learning, deep learning, computer vision, and NLP.
- Learning across the broader AI landscape
- Building hands-on projects to strengthen understanding
- Creating an early portfolio that reflects my future specialization
LEARNING MILESTONES
No verified certificates yet. Credentials will be added as they are earned.
06 / A FEW QUICK ANSWERS
Before you say hello.
01What are you focused on right now?+
I am focused on AI engineering fundamentals, especially machine learning, deep learning, computer vision, NLP, and practical projects that connect models with usable software.
02Are the project links available?+
Some projects are still being prepared for public GitHub or live demos. The project cards currently explain the context, stack, challenge, solution, and learning outcome.
03How can someone contact you?+
The fastest ways are email, WhatsApp, or the contact form on this site. I am open to feedback, learning opportunities, collaborations, and early career conversations.
07 / GOOD THINGS START WITH A CONVERSATION
Have an idea?
Let’s connect.
Let's connect about AI, projects, or learning opportunities
Use the form for feedback, collaboration ideas, internship conversations, or questions about my projects. You can also reach me directly by email or WhatsApp.
mart33645@gmail.com