ANNU Digital Library

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Communities in DSpace

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Recent Submissions

PharmaMatrix
(Dr. Abdallah Rashed, 2026-01-27) Haneen Alhajali; & Deeema Daraghmeh
The rapid growth of pharmaceutical services has increased the demand for accurate, efficient, and reliable medication storage and dispensing systems. PharmaMatrix is an automated hardware-based solution designed to reduce human error, improve dispensing speed, and enhance inventory management. The system integrates a 4-degree-of-freedom robotic arm, dual rail mechanisms, ultrasonic sensors, and embedded controllers to automate medication insertion, retrieval, and stock monitoring. An Arduino Mega 2560 manages real-time motion control, sensor processing, and state-based operation, while an ESP32 enables wireless communication with a mobile application via Bluetooth. The system implements deterministic state machines for ADD, REQUEST, and automatic stock refill operations, ensuring safe execution and robust error handling. A local LCD and keypad interface, along with a mobile application, provides user interaction and system monitoring. Testing results demonstrate reliable dispensing, accurate inventory tracking, and automatic shelf refilling, highlighting the system’s ability to reduce manual workload and improve operational efficiency. PharmaMatrix provides a scalable and low-cost foundation for automated pharmaceutical storage systems with potential for future expansion.
Tabourak
(Dr. Sufyan Samara, 2025-06-25) Haneen Alhajali; Shahd Yasen
The exponential growth of service-based businesses has created an urgent need for efficient appointment scheduling solutions that eliminate traditional booking frustrations. Tabourak emerges as a revolutionary virtual smart assistant for scheduling — a comprehensive platform that transforms how businesses and clients interact through intelligent appointment management. This innovative virtual assistant combines cutting-edge technologies including Flutter for cross- platform development, Node.js for robust backend services, and MySQL for scalable data management. Tabourak integrates seamlessly with essential business tools including Google Calendar, Zoom, Stripe payments, and professional email systems, creating a unified scheduling ecosystem that operates 24/7 as your dedicated virtual receptionist. The system features intelligent conflict resolution, automated reminder systems, real-time calendar synchronization, secure payment processing, and comprehensive analytics dashboards. What sets Tabourak apart is its exceptional customizability — the platform adapts to fit any business scenario, industry, or use case through dynamic form builders, flexible service configurations, and industry-specific templates that ensure perfect alignment with diverse business requirements. Performance results demonstrate exceptional efficiency with API response times under 200ms, 99.8% system uptime, and successful concurrent user testing with 500+ simultaneous bookings. User experience improvements include 75% reduction in booking completion time and 90% decrease in scheduling conflicts. The platform's versatility shines across diverse industries from healthcare and education to HR and retail services, with customizable features that mold perfectly to each unique business environment. Tabourak represents a significant advancement in appointment scheduling technology as a truly intelligent virtual assistant that successfully bridges the gap between simple booking tools and complex enterprise solutions while maintaining intuitive user experiences that drive business growth and customer satisfaction across all business scenarios.
Innovative Packaging Machine
(Dr.Hanal Abu Zanit, 2026-01-26) Ahmad Samaaneh; Hazim AlSayel
Packaging and weighing processes are essential in the food industry, especially for products such as nuts that require accurate portioning and secure sealing. This project presents the design and implementation of an Automatic Nuts Filling and Sealing Machine aimed at providing a low-cost, compact, and semi-automated solution suitable for small-scale production. The system integrates mechanical components for vibration-based feeding, electronic weighing using a load cell and HX711 module, and a sealing mechanism adapted from a manual heat-sealing machine. The machine operates by dispensing nuts from a hopper using a vibration motor, measuring the weight in real time, and stopping the flow once the desired weight is reached. The measured quantity is then released into a pre-positioned plastic bag, which is sealed using a controlled heat-sealing bar. An Arduino microcontroller serves as the central control unit, coordinating sensor readings, motor activation, and timing logic. The developed prototype demonstrates acceptable accuracy, reliability, and ease of operation. Although constrained by manual bag placement and limited production speed, the system successfully validates the feasibility of low-cost automation for nut packaging. Future improvements may include fully automated bag feeding, enhanced sealing control, and industrial-grade mechanical components
SmartLand MarketPlace
(Dr. Haya Samaana, 2026-06-10) Hazim Haydar; Ahmad Samaana
The Smart Land Marketplace Platform is a full-stack web application designed to digitize and streamline the buying and selling of land properties. The platform addresses a significant gap in the Palestinian real estate market, where land transactions are largely conducted through informal, paper-based, or unverified channels that expose buyers and sellers to fraud, inefficiency, and lack of transparency. The system was developed using a modern technology stack comprising React.js and Tailwind CSS on the frontend, Node.js with Express.js on the backend, MySQL as the relational database, and Socket.io for real- time communication. The platform implements JSON Web Token (JWT) authentication with role-based access control for three user types: Normal users, Lawyers, and administrators. Key features include verified property listings with image galleries and interactive Leaflet maps, a real-time bidirectional chat system between buyers and sellers, a structured appointment scheduling system for land visits, a real-time notification system, a favorites module, an ollama intelligent chatbot for user assistance, and a complete multilingual interface supporting both English and Arabic with full Right-To-Left layout support. Security was addressed through bcrypt password hashing, parameterized SQL queries to prevent injection attacks, XSS sanitization middleware, per-route rate limiting, and Helmet.js HTTP security headers. Identity verification during registration was implemented through a multi-field form requiring a four-part legal name, national ID number, date of birth, and an uploaded ID document with automated client-side quality validation. The resulting platform provides a transparent, secure, and accessible marketplace that reduces fraud risk, eliminates geographic barriers, and empowers both land owners and buyers across the Palestinian territories and beyond.
SmartOps Integrated Operations Management Platform for SMEs
(Dr. Amjad AbuHassan, 2026-06-14) Yousef Hanna; Mahmoud Asmar
SmartOps is an integrated operations management platform designed to support small and medium-sized enterprises (SMEs) in organizing and optimizing daily business activities. The system provides a centralized digital environment for managing users, projects, tasks, and analytical reports through both a web application and a mobile application that share a unified backend infrastructure. Many SMEs still rely on fragmented tools, manual tracking methods, and unstructured communication, which reduces workflow visibility, causes delays, and limits performance monitoring. SmartOps addresses these challenges by offering a unified system with real-time updates, improving task coordination, transparency, and operational control across teams. The platform follows modern software engineering principles and a RESTful architecture, enabling scalable and maintainable development. Role-Based Access Control (RBAC) is implemented to ensure secure and organized access for different user roles, including administrators, employees, and clients. In addition, SmartOps also includes an AI Health Analysis module that evaluates project progress, deadline pressure, task completion, pending work, overdue tasks, and high- priority risks. The module calculates a project health score, classifies risk level, predicts possible delay conditions, and presents a smart summary to support proactive project monitoring. SmartOps is designed with a modular and extensible architecture to allow future enhancements such as advanced analytics, cloud deployment, and integration with external enterprise systems. The proposed solution aims to provide a practical, flexible, and future-ready platform that accelerates digital transformation within modern business environments