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Communities in DSpace

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Recent Submissions

ICreamatic
(Dr. Raed Al-Qadi, 2025-09-20) Aisha Abu Jeib; Basmalah Samaneh
The project involves creating and designing an automatic ice cream production line. The system is a miniaturized form of an industrial machine that automates the whole ice cream making process, right from selecting a flavor to decorating it. The user chooses a flavor on the first touchscreen interface of the system. The machine automatically releases the base ingredients and the selected flavoring into a mixing chamber when selected. The mixture is cooled by initiating an inbuilt cooling system through gas pipes and a compressor. While cooling the mixture, a motorized mixing device shakes the mixture to ensure even freezing and the right consistency for the ice cream. The machine is set to dispense the prepared ice cream into a cup as soon as it detects a cup under the dispensing cup. The last process includes a decoration module that allows the user to activate the release of a topping above the cup. All this process is done automatically for each cycle. This project is significant since it applies embedded systems, sensor integration, mechanical control, and realtime automation in a food-grade environment. It is pedagogically valuable because it demonstrates an actual industrial application through low-cost components and scalable design. The key issues covered include subsystem integration (mixing, cooling, dispensing, decoration), user interface as a touchscreen, feedback control systems, and process synchronization. The overall objectives of the project are to develop an end-to-end functional prototype for complete automation of the entire ice cream production process and providing the students with hands-on experience in developing a real-time electromechanical system. While commercial ice-cream machines are available, it is rare that systems offer total automation of flavor selection, manufacturing, cup control, and decoration in a matter of minutes in a miniature educational version. Therefore, the current project is a new and practical application suitable for learning as well as development.
ShopMate
(Dr. Ashraf Armoush, 2026-01-27) Eman Wasfy Ishtawi; Toqa Omar AbdAlDayem
This project aims to enhance the shopping experience by helping customers easily locate items without prior knowledge of the supermarket layout. It saves time, reduces confusion, and supports individuals such as elderly people or first-time visitors. The system introduces automation and smart navigation into everyday retail environments, promoting the concept of intelligent shopping. The project focuses on several key aspects, including accurate indoor navigation to ensure autonomous and safe movement, collision avoidance using LiDAR, ultrasonic, accelerometer, gyroscope, and speed sensors, item scanning to allow users to view product prices and track their total cost, user-friendly interaction for entering shopping lists, and efficient path planning to minimize walking distance. The main objectives are to design and implement an autonomous cart that guides users to desired items, ensures smooth and safe movement through multi-sensor integration, and simplifies the shopping process by providing real-time product information. The methodology involves defining hardware and software components, using LiDAR for real-time mapping and localization, developing path-planning and obstacle-avoidance algorithms, integrating data from multiple sensors for stability, and building a simple user interface for inputting lists and scanning products. While some experimental smart carts exist globally, this project has not been developed before at our university, particularly not in this integrated form combining autonomous navigation with real-time LiDAR mapping and product price scanning.
SparkOra
(Dr. Samer Arandi, 2026-06-14) Eman Wasfy Ishtawi; Toqa Omar Abd AlDayem
This project aims to improve children’s learning experience by developing an interactive, space- themed educational web application that works on both desktop and mobile devices. Instead of presenting subjects through traditional text-based lessons, the system transforms learning into a visual universe where each subject is represented as a planet and each topic is organised into sections and levels. The main focus of the project is on the Physics and Chemistry planets, where learners can explore scientific concepts through interactive activities, simulations, challenges, and open-ended experimentation. The platform supports multiple user roles, including child, parent, supervisor, and admin. Children can create accounts and access learning planets, while parents can connect to their child’s account using a child-generated code to monitor progress. Supervisors and admins have controlled access through verification, allowing them to create, manage, review, approve, archive, or delete sections and levels. This role-based structure allows the same application to support learning, supervision, content creation, and administrative control within one integrated system. A major part of the project is the Physics Free Space section, which functions as an open -ended physics sandbox. In this section, learners can place objects, test collisions, change gravity, connect objects using ropes, work with gears and motors, use springs, magnets, fans, ramps, dominos, slingshots, and other interactive tools. Free Space operates in three modes: Kid Play, Supervisor Builder, and Admin Review. This mode-based design allows children to experiment freely, supervisors to build educational scenes, and admins to review prepared levels before approval. The system uses Matter.js for physics simulation, Pixi.js for rendering, custom object registries, scene serialization, preset scenes, attachment systems, goal detection, and theme management to create a realistic and engaging physics environment. The Chemistry planet is designed as an interactive learning environment that helps students explore chemical concepts through stage-based learning and hands-on experimentation. The system currently includes a set of learning levels focused on different types of chemical reactions, such as exothermic and endothermic reactions, where students learn by completing tasks and observing interactive visual effects and animations. In addition, the planet includes a Chemistry Free Space that allows learners to explore elements and compounds in an open -ended interactive environment. This space is integrated with the PubChem database, enabling access to real scientific data about chemical substances and their properties. The system also uses a cinematic camera system with smooth panning, dynamic zooming, and guided transitions between scenes, enhancing user focus on key interactions and creating a more immersive and engaging learning experience. The platform is built using React, Canvas 2D, and interactive state management, combining visual effects and dynamic camera movements to support exploratory, experience- based learning rather than traditional memorization. The methodology of this project involved designing a responsive React web application, building a role-based authentication and permission system, creating structured planet and level data, developing interactive physics and chemistry learning environments, implementing progress tracking, and providing management dashboards for parents, supervisors, and admins. The final result is a complete educational platform that combines game-based learning, visual storytelling, scientific simulation, and content management. While many educational websites present lessons in a static format, this project provides a more immersive learning world where children can learn by playing, building, testing, and discovering
ICreamatic
(Dr. Raed Al-Qadi, 2025-09-14) Aisha Abu Jeib; Basmalah Samaneh
The project involves creating and designing an automatic ice cream production line. The system is a miniaturized form of an industrial machine that automates the whole ice cream making process, right from selecting a flavor to decorating it. The user chooses a flavor on the first touchscreen interface of the system. The machine automatically releases the base ingredients and the selected flavoring into a mixing chamber when selected. The mixture is cooled by initiating an inbuilt cooling system through gas pipes and a compressor. While cooling the mixture, a motorized mixing device shakes the mixture to ensure even freezing and the right consistency for the ice cream. The machine is set to dispense the prepared ice cream into a cup as soon as it detects a cup under the dispensing cup. The last process includes a decoration module that allows the user to activate the release of a topping above the cup. All this process is done automatically for each cycle. This project is significant since it applies embedded systems, sensor integration, mechanical control, and realtime automation in a food-grade environment. It is pedagogically valuable because it demonstrates an actual industrial application through low-cost components and scalable design. The key issues covered include subsystem integration (mixing, cooling, dispensing, decoration), user interface as a touchscreen, feedback control systems, and process synchronization. The overall objectives of the project are to develop an end-to-end functional prototype for complete automation of the entire ice cream production process and providing the students with hands-on experience in developing a real-time electromechanical system. While commercial ice-cream machines are available, it is rare that systems offer total automation of flavor selection, manufacturing, cup control, and decoration in a matter of minutes in a miniature educational version. Therefore, the current project is a new and practical application suitable for learning as well as development.
BLOOM
(Dr. Sufyan Samara, 2026-01-27) Basmala Samaneh; Loaa Awayes
Bloom is a smart agriculture platform designed to help farmers manage their crops and access agricultural services in a simple and organized way. The project combines several important features in one system, including crop management, expert communication, AI- based assistance, and an online marketplace. Bloom is available as both a web application and a mobile application, which allows users to access the system anytime and from different devices. Through Bloom, farmers can create crop cases, upload images, receive guidance, and communicate with agricultural experts using a real-time messaging system. The platform also provides a marketplace where users can buy, sell, or rent agricultural products and tools. In addition, Bloom includes AI-supported features that help generate tasks and recommendations based on crop information and environmental conditions. The main goal of this project is to reduce the need for farmers to rely on multiple separate platforms and instead provide one integrated solution that supports daily farming activities. Bloom aims to improve access to reliable information, enhance communication between farmers and experts, and support better decision-making in agriculture using modern web and mobile technologies