AI Engineer & Back-end Developer
I am an AI engineer with machine learning skills and the ability to analyze data and apply machine learning models to solve problems and improve processes. I can also apply deep learning techniques to improve model accuracy and achieve better performance in areas such as classification, prediction and diagnosis.I also have high experience in background programming for applications using Laravel, where I can design and develop high quality and performance applications. In addition, I am good at working on the Unity game engine, which enables me to create simulations of different environments on which the system is tested using modern technologies and improving the user experience.
Strategy game with two players
At first, you choose your army and its location, and the second player also does that, and the game began to wrestle the two armies.
Implemented using: Java, JavaFX GUI
Contributors:
Sepsa Mokao
Huda Kuddo
Game consisting of two players, each player has a bubbles group and tries to control the board through several game strategies, the game has several levels (easy, medium and difficult) if playing against the computer that works through the "MinMax" algorithms.
Implemented using: Python, Tkinter GUI
Contributors:
Implemented using: Python, Tkinter GUI
Implemented using: Python
Particle System simulations using Unity C#
Liquid Representation: To represent water, we used SPH, which stands for Smooth Particle Hydrodynamics, and it is a mathematical method for simulating connected media such as water.
Contributors:
Simulate the traffic intersection and manage it intelligently by opening the appropriate lane to reduce congestion.
Implemented using:
Unity with C#
Python
YoloV7 for object detection.
Contributors
Simulation of bowling ball action from bowling to hitting or not hitting the pins. The goal of the initiation is to include physical movement of the ball.
Implemented using:
OpenGL C++
Contributors
Sepsa Mokao
Huda Kuddo
Sedra Alsaadi
Services:
Add video(s) and image(s) to library
Search for specific scenes within videos and images based on various criteria such as scene description, selection of individuals in the scene, scene viewpoint and any dialogue.
The system analyzes visual media such as non-viewer description, detecting and tracking people, extracting objects and recognizing view of the scene.
Then the system stores and indexes all the extracted information to be searched.
Finally, he searches all the knowledge extracted and consolidates and ranks the results
Contributers:
The research paper has been applied
Hand tracking and gesture recognition system
for human-computer interaction using low-cost hardware
Implemented using OpenCV and Python Native
with some algorithms have been built to identify the hand
Automation for cars registration and payment in parking places using plate detection and vehicle model detection algorithms.
Contributors:
Diagnosing medical mental application through fuzzy inference engine.
Implemented using: Python, PyQt5 GUI.
Contributors:
It's a simple AI model for recognition road signs, trained on "gtsrb-german-traffic-sign" dataset.
Implemented using:
Python
Tkinter GUI
Contributors:
The UI of Expert System built in both Arabic and English.
Experience was extracted from a group of doctors and converted into rules for diagnosing a variety of diseases affecting the urinary system.
Where he poses a set of questions to the user and, through his answers, determines the instructions that the patient must follow.
Implemented using: Python, Tkinter GUI
Contributors:
Online store with admin dashboard that provide many features like:
Registration/login system with 2 types of users (Admins/Customers), view categories and products, add to wishlist or shoppingcart, coupons system, checkout and payment, chatting between customers and admins, notification system.
Frontend: HTML, CSS, JavaScript, Bootstrap, jQuery
Backend: Laravel with MySQL as the database.
Contributors:
Sepsa Mokao
Huda Kuddo
Sedra Alsaadi
A garage management system with smart license plate recognition using computer vision. The solution includes a mobile application for customers to book and manage services. Administrators can track vehicles, manage reservations, and optimize operations. Built to deliver efficiency, automation, and a seamless customer experience.
Backend: Django with SQLite3/PostgreSQL DB
Dashboard: HTML, CSS, JavaScript, Bootstrap, jQuery
Mobile: FLutter
Contributors:
An e-learning platform built with Laravel for the backend and web dashboard. The mobile application is developed using Flutter for seamless cross-platform access. It offers course management, user progress tracking, and interactive learning tools. Designed to provide a modern, scalable, and user-friendly educational experience.
Backend: Laravel with MySQL as the database
Dashboard: HTML, CSS, JavaScript, Bootstrap, jQuery
Mobile Application: Flutter
It's an responsive, simple and elegant design ecommerce website that showcases a variety of products for different rooms and styles. It allows customers to browse, save and purchase furniture online with ease and convenience. It also integrated with multiple methods (PayPal, Visa, MasterCard) to provide checkout system.
Frontend: HTML, CSS, JavaScript, Bootstrap, jQuery
Backend: Laravel with MySQL as the database
Contributors:
A centralized management dashboard for DonBosco Middle-East.
It streamlines operations, reporting, and organizational oversight.
Designed to improve efficiency and decision-making across branches.
Simple, scalable, and tailored for regional management needs.
It's a responsive website with responsive admin panel that help peoples to reserve trips for many famous and beautiful places.
Contributors:
Select Video
Play, Pause, Skip 5 seconds
Cut Video & Trim Video
Speed up/down
Extract Frames
Manipulate:
FPS of video
Dimensions (Width, Height)
Save Video