Communities in DSpace
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Recent Submissions
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AutoXchange (Exchanger Machine)
(2025) Hiba Abu Snuber; Mohamad Najeh Abdull Raziq
This project presents the design and implementation of an Automated Currency
Exchanger Machine that performs real-time conversion between Jordanian Dinar (JOD)
and Israeli Shekel (ILS). The system integrates hardware, AI, and web technologies to
deliver a fast, secure, and user-friendly exchange experience.
Users initiate transactions by scanning a QR code and verifying their identity via RFID
ID cards. A web application built with Next.js and Supabase provides access to live
exchange rates, a secure sign-in flow, transaction history, a digital wallet for fractional
amounts, and an interactive chatbot assistant powered by Chatbase.
For banknote input, a camera module and a custom-trained Convolutional Neural
Network (CNN) verify currency and denomination under controlled lighting. Accepted
notes are sorted into storage bins. Dispensing is handled by a vacuum-based Y-Z gantry
for notes and a servo-driven coin module for 1 ILS coins, ensuring precise payout—
even for values between 1–19 ILS.
Testing showed high classification accuracy (>95%) and reliable transaction flow. While
limited by budget and time constraints, the system successfully demonstrates a practical
and scalable solution for smart currency exchange. Recommendations include expanding
coin handling capabilities, addin
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Health Tracker
(2026) Arkan Nezam Fares; Mohammed Najeh Abdullrazeq
Health Tracker is a cross-platform mobile healthcare management system
designed to help users store and understand their medical information, track
medications, and receive AI-assisted explanations of laboratory reports and
symptoms. The system consists of a React Native (Expo) mobile application
and a Laravel REST API backend integrated with cloud services and
multiple AI providers. Lab reports can be uploaded as PDFs or images; the
backend stores the files in AWS S3, prepares AI prompts, and retrieves
structured medical findings in JSON format. The mobile application presents
the extracted results in a patient-friendly form and provides additional
features such as medication scheduling with reminders, health profile
management, and an AI Doctor consultation module that supports text and
optional image inputs. The project emphasizes security, modularity, and
extensibility through token-based authentication, clean service abstractions,
and clear separation between client, API, data, and AI processing layers. The
implemented system demonstrates a practical architecture for integrating
modern AI services into a healthcare-oriented application while preserving
maintainability and future upgrade paths.
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The Prime Robot
(2025) Younis Masri; Yanal Oudeh
The Prime Robot is a smart robotic assistant designed to demonstrate a complete, end-to-
end human–robot interaction (HRI) stack that is safe, intuitive, and adaptable. The system
integrates perception, decision, and actuation in a modular pipeline: it interprets user
intent through multimodal inputs—hand gestures, Bluetooth commands, and voice—
arbitrates behavior with a safety-first controller, and executes smooth, coordinated arm
actions. A signature capability is Follow Mode: with a single activation gesture, the robot
enters a hands-free mode that autonomously continues the assigned task while
continuously monitoring proximity; it pauses when a safety threshold is reached and
automatically resumes once conditions are clear. An explicit stop gesture exits Follow
instantly, and safety interlocks remain active across all modes.
Beyond Follow, the platform supports direct driving (forward/turn/reverse/stop), a
configurable speed interface, and a demonstration arm sequence for simple pick-and-place
routines. A lightweight mobile interface can be used to switch modes, issue commands,
and review status remotely. The architecture is deliberately hardware-agnostic and built
around clean software boundaries, enabling replication in educational labs and easy
substitution of sensors or compute without redesigning the control logic.
The Prime Robot is designed as a practical assistant: it analyzes the user’s hand gestures
in real time and performs the corresponding actions—moving forward, turning, stopping,
triggering simple arm routines, or entering/exiting Follow mode. By prioritizing clear
intent recognition and conservative proximity safeguards, it reduces operator effort and
ambiguity in shared spaces while delivering responsive, predictable behavior for
instructional and service settings. Future work will expand the gesture vocabulary, refine
the decision policy, add soft start/stop and richer status feedback, and conduct user studies
to evaluate accuracy, comfort, and trust.
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Seseam Circle
(2025) Israa Majed Al-Salman; Aya Wael Ahmad
This project presents the design and installation of a semi-automatic production line for Sesame
Circle, a traditional sesame biscuit. The system improves efficiency, hygiene, and consistency by
automating key steps such as dough cutting, shaping, flavoring, baking, and packaging. The goal
is to deliver a cost-effective and scalable solution for small bakeries while preserving the authentic
taste and tradition of the product.
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Preparation and Characterization of Bioplastics from Food Waste-Derived Starch
(2026-02-10) Mai Dwiekat; Manar Yamak; Waed Hababeh
Abstract
This project explores how biodegradable bioplastics can be developed when we extract starch directly from food waste sources, specifically rice and bread. During preparation, bioplastic films had varying glycerin and acetic acid concentrations. Their physical, mechanical, and thermal properties were evaluated then. Results showed that 25% starch had been extracted from bread as well as 20% from rice. The bioplastic films were prepared from extracted starches by altering the amount of glycerin and acetic acid. Since glycerin is hygroscopic, the moisture content increased upon glycerin addition, reaching up to 36.5% in bread-based films and 29.36% in rice-based films. Acetic acid stabilized it, while glycerin increased solubility. Tensile tests revealed that moderate acetic acid concentration improved both strength and ductility in rice-based films, while excessive levels weakened films made from bread. Thermal analysis (TGA) showed that samples having higher glycerin and acetic acid content exhibited improved thermal resistance, and rice-based bioplastics showed better overall stability. The results show that food waste starch represents a useful feedstock. It is able to produce functional, eco-friendly bioplastics for short-term applications such as packaging, which also contributes to waste valorization plus sustainability. 2
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