Jumana Ahmed Khawaji, located in Dammam city, . With expertise in full-stack development and machine learning, I strive to excel in full-stack development to build innovative and effective applications that solve real-world problems.
In May 2025, I earned a Bachelor's degree in Computer Science (CS) from the College of Computer Science and Information Technology at Imam Abdulrahman bin Faisal University. During the journy, I built a solid foundation in several computer science fields, such as algorithms, programming languages, problem solving and critical thinking, data handling and storage, and artificial intelligence models. I developed several personal projects and academic requirements to enhance my technical skills and learn about and utilize the latest tools in the field.
Every challenge is an opportunity to explore new levels and hone acquired skills by implementing realistic and effective solutions. I am excited to progress further and look forward to any opportunity to apply my programming and creative skills to find solutions that make an effective impact.
Saudi Aramco
Certificate of UIP Completion
Juna 23, 2024 - August 15, 2024
Coursera - Course Certificate
Foundations of User Experience (UX)
Design
Jul 8, 2024
Programming Languages
Python
C++
SQL
PHP
Java
Swift
Web Development
Software Development & Engineering
HTML
Responsive Design
JavaScript
Flask
CSS
UX/UI Principles
OOP
Software Testing
Git & GitHub
Code Optimization
Algorithms
Data Structures
Databases & Data Management
MySQL
ER Diagrams
Firebase
Calculator
Simple calculator built with HTML, CSS, and JavaScript. It supports basic arithmetic operations and features a clean, responsive design.
Languages & tools used: HTML, CSS, JavaScript, VS code
GitHub source code
FILMAX
Movie booking management system that streamlines the process of browsing movies, checking showtimes, reserving seats, and managing bookings. It provides users with a simple, efficient, and user-friendly platform for cinema ticket reservations while helping administrators manage schedules and availability with ease.
Languages & tools used: Java, SQL, Netbeans IDE, mySQL
GitHub source code
Soft and Grass
Interior design concept project that explores fresh and imaginative ideas for modern living spaces. It focuses on experimenting with materials, layouts, and aesthetics to inspire creative approaches to home and lifestyle design.
Languages & tools used: HTML, CSS, VS code
GitHub source code
PAW Clinic
Pet appointment reservation system designed to simplify scheduling veterinary visits. It allows pet owners to easily book, manage, and track appointments while helping clinics organize schedules and provide efficient care.
Languages & tools used: Java, Netbeans IDE
GitHub source code
LearnSphere-Android
Learnsphere is an educational app designed to provide users in Saudi Arabia with online and in-person courses in tech fields like AI, UX/UI design, and programming.
Languages & tools used: Java, Android Studio
GitHub source code
LearnSphere-Swift
Learnsphere is an educational app designed to provide users in Saudi Arabia with online and in-person courses in tech fields like AI, UX/UI design, and programming.
Languages & tools used: Swift, Xcode
GitHub source code
Floritsia
Plant shopping website that offers a wide variety of indoor and outdoor plants. It provides an easy and enjoyable way for customers to browse, purchase, and bring greenery into their spaces.
Languages & tools used: HTML, CSS, PHP, SQL, VS code, MySQL, XMAPP
GitHub source code
AutismLens
AutismLens is a deep learning-based project focused on improving the early diagnosis of Autism Spectrum Disorder (ASD) using facial image analysis. This project integrates advanced CNN architectures, particularly ConvNeXt, with interpretability tools like Grad-CAM to provide accurate and explainable predictions. The system is designed to assist clinicians and researchers in identifying ASD-related patterns through facial features.
Language & tools used: HTML, CSS, JS, Python, VS code, Firebase, FastAPI
GitHub source code
Cafe Management System
Management system designed to streamline café operations, including order processing, menu management, billing, and customer service, making daily management more efficient and organized.
Language & tools used: C++, VS code
GitHub source code
Waste Classification ViT
This project explores the application of Vision Transformers (ViT) in the field of waste classification, an area where ViT has not been extensively studied. While Convolutional Neural Networks (CNNs) such as DenseNet, EfficientNet, VGG19 and ResNet have been widely used for image classification tasks, our research aims to evaluate the potential of ViT in this domain and compare its performance against these established CNN architectures.
Language & tools used: Python, Colab
GitHub source code