Communities in DSpace
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Recent Submissions
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Watan
(2025) Omar Nidal Raddad; Layan Najeh Otman
This project is about a social media application that has been developed for helping Palestinians deal with the day-to-day challenges that they face while living under occupation.
The application does not simply connect people but enables users to deal with the challenges of distance, barriers and checkpoints that make travel a real nightmare.
Featuring built in maps, it offers users the shortest and safest routes hence enabling them to move around faster with less trouble. Also important is the market community section of the application, which allows users to post and browse advertisements for goods and services to be purchased or offered within the community, enhancing the economic activity as well as community bonding. Incorporating technology into every day realities of Palestinians, this app is not only aimed at socializing, but socializing with the aim of improving one’s life, creating and enhancing relationships and possibilities which are quite in their scarcity.
There is an element in this project which indicates how technology may engage its users to socialize and also ease their experience in an environment that is difficult.
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Naqalati
(2025) Mohammad Wahbeh; Abbas Dwekat
This project presents the design and development of a comprehensive taxi service management application aimed at enhancing user experience, operational efficiency, and communication between passengers, drivers, and line managers. The system introduces key features addressing user challenges and service improvements within taxi operations.
Users can monitor vehicle counts in terminals, facilitated by tracking driver locations to determine their entry or exit from terminal boundaries. Additionally, a location search function allows users to visualize their current position alongside their destination on an interactive map.
The booking system supports flexible scheduling options, including single-day, weekly, or monthly reservations, with controls for managing reservations such as cancellation, pausing, or driver rating. Notifications keep users informed about booking confirmations and driver acceptance updates. Users can also communicate with support through an integrated chat feature and manage their profile information.
Drivers can view and manage all reservations, accept or decline bookings, and maintain a calendar for daily, weekly, or monthly schedules. They also receive reservation recommendations based on their current location and have communication tools for direct conversations with line managers. Profile management and reservation status tracking further support driver operations.
Line managers benefit from features that allow monitoring and communication with individual drivers or broadcasting voice messages to all drivers. They can track driver locations, search for specific drivers, view driver performance ratings, and manage profile updates.
Additionally, the system provides line managers and administrators with detailed statistical reports to assess the quality of services provided. These insights include reservation trends, customer satisfaction ratings, driver performance metrics, and operational efficiency evaluations, enabling continuous service improvement and informed decision-making.
This application creates a seamless and efficient taxi service platform by integrating location-based tracking, reservation management, communication tools, and data-driven service quality assessments, thereby enhancing user experience and operational excellence.
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Whey as a Resource: Transforming Dairy Waste into Lactic Acid
(2025-07-10) Ameer Abu Hayat; Deema Tammam; Nadeen Hawash; Omar Alabed
ABSTRACT
Lactic acid production from whey presents an attractive opportunity to reduce environmental waste and promote sustainable bioprocessing. This project addresses the worldwide issue of underutilized dairy by-products by turning them into compounds with added value that can be used in food additives, pharmaceuticals, and biodegradable plastics. Its importance resides in advancing the circular economy by converting industrial waste into products that are both economically viable and environmentally advantageous.
The main objectives of this study were to isolate and identify lactic acid bacteria (LAB) from dairy sources (labneh, cheese whey, and yogurt). In addition, to generate a growth rate curve, and to evaluate lactic acid yield using both pure LAB strain and mixed microbial cultures across various substrates.
Key aspects of the study include analytical validation and microbial strain isolation. The assessment of fermentation parameters, including pH, nutrient supplementation, the choice of carbon and nitrogen sources, and the contribution of native proteins to the enhancement of lactic acid production, was given particular attention. An economic feasibility study was also incorporated into the project to evaluate the possibility of practical implementation.
In this context, LAB were successfully isolated from labneh, cheese whey, and yogurt using De Man Rogosa and Sharpe (MRS) agar and confirmed through Gram staining and biochemical testing. Growth dynamics were monitored via optical density (600 nm). Lactic acid was produced by pure strains of LAB and mixed cultures through fermentation at 37°C, and lactic acid was quantified through UV spectrophotometry and titrimetric analysis.
It was found that, yogurt is a more efficient source of Lactobacillus strain. In mixed culture fermentation, a maximum lactic acid yield of 35 g/L was achieved when pH adjustment to near-neutral levels and nutrient supplementation were used. Whereas lactose led to decreased productivity, native proteins in cheese whey increased microbial activity. Labneh whey was verified as the most stable and effective substrate in pure strain fermentation. Glucose and lactic acid calibration curves confirmed analytical reliability, and economic analysis projected a net profit of 199,150 ILS/year, supporting the industrial scalability and sustainability of whey valorization.
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Multifunctional Beverage Preparation and Dispensing System iDrink Station
(2025) Ahmad Ghassan Atallah; Khaled Mohammad Saadeh
This project aims to provide a practical and sustainable solution in the world of vending beverages by designing and building a machine that prepares cold and hot drinks using simple electronic and mechanical components. It focuses on facilitating and accelerating the automatic beverage preparation process, providing a smooth and fast user experience, making it ideal for offices, cafes, educational centers, public spaces, and even kiosks and small businesses.
The machine operates using an Arduino controller, which precisely manages its various components, regulating the operation of sensors and controlling the movement of pumps and motors. It also includes an ESP module to enable communication with a mobile application. The beverage type is selected either manually via an electronic keypad or electronically through the app, offering flexibility in control. Additionally, the system can be activated using an RFID card or directly from the mobile application.
Operating data, such as the beverage type (cold or hot), the selected flavor, temperature, and the number of cups prepared, is displayed on an LCD screen, providing the user with a comprehensive and clear experience.
The mechanism involves pumping water from the tank, heating it as needed, selecting the appropriate beverage type, then pumping the desired concentrate or powder and mixing it into the cup, serving it to the user within a few minutes. These sequential steps allow the user to prepare a variety of drinks, such as mojitos, Vimto, iced tea, fruit juices, Zahra juice, coffee, Nescafe, or tea, with just the push of a button.
This project represents a practical model for the concept of digital transformation in quick-service restaurants, combining simplicity in design with performance efficiency. The machine not only saves time and effort for users and workers, but also opens the way for the development of innovative small businesses in the beverage sector, especially with the approach of summer and the increased demand for cold and ready-to-drink beverages.
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AI Powered Educational Center Management and Guidance Application EduSpark Application
(2025) Ahmad Ghassan Atallah; Khaled Mohammad Saadeh
This project introduces an innovative platform designed to streamline the process of course selection and management for students and educational centers. Leveraging artificial intelligence, the application offers personalized guidance to help users choose courses aligned with their interests, career aspirations, and market demands.
The platform addresses the challenge of navigating vast educational options by providing tailored course recommendations through AI-driven algorithms. By analyzing user preferences, market trends, and educational goals, the system ensures that students receive suggestions optimized for their development and future opportunities.
In addition to course recommendations, the application offers robust features for managing user data, simplifying course registration, and tracking progress. Integrated AI technologies, including a smart chatbot, enhance user interaction by providing instant assistance, answering queries, and guiding users through the system.
This project not only resolves the complexity of course selection but also bridges the gap between students and education providers by delivering an intuitive, intelligent, and efficient solution. By incorporating advanced AI and user-centric design, the application sets a new standard for educational platforms.