ANNU Digital Library

Photo by @inspiredimages

Communities in DSpace

Select a community to browse its collections.

Now showing 1 - 2 of 2

Recent Submissions

POPITup
(dr.imad natsheh, 2025-09-15) lama loay mletat; reem salahat
In recent years, there has been a growing demand for automated food machines that combine convenience, efficiency, and hygiene while providing an engaging user experience. Our project, Pop It Up, introduces an innovative popcorn-making machine designed to automate the entire process of producing freshly made popcorn with minimal human intervention. The system integrates multiple stages, including automated cup dispensing, precise oil and seed measurement, controlled heating and mixing, customizable flavor dispensing, and an automatic cleaning stage using an air piston to ensure cleanliness and prepare the pot for the next batch. Each stage is controlled by motors, sensors, and relays, ensuring high accuracy, speed, and safety throughout operation. This machine not only simplifies popcorn preparation but also enhances the user experience by offering different flavors and portion sizes while maintaining hygiene between cycles. With its user-friendly interface and reliable hardware design, Pop It Up provides a modern, efficient, and hygienic solution for snack preparation in cinemas, events, and public spaces. Ultimately, the project demonstrates how automation and mechatronics can transform traditional food-making processes, delivering consistency, convenience, and quality to users.
FINEESE
(DR. RAED QADI & DR. ANAS TOMA, 2026-06-14) LAMA LOAY MLETAT; A SHAKAA
Finesse is a web and mobile-based fitness and wellness platform designed to provide users with a personalized, intelligent, and engaging health management experience. The platform integrates fitness training, nutrition planning, progress tracking, artificial intelligence, and social interaction features into a single comprehensive system aimed at promoting healthier lifestyles and long-term wellness. The system supports multiple user roles, including users, coaches, nutritionists, and administrators, each with dedicated functionalities and management capabilities. Through integrated communication tools, users can connect with fitness professionals for personalized guidance and support throughout their fitness journey. Finesse provides a comprehensive exercise database containing detailed workout information, including targeted muscle groups, difficulty levels, estimated duration, calorie expenditure, and instructional videos. Based on the user's selected goal—weight loss, weight gain, or weight maintenance—the platform recommends suitable workout plans and nutritional programs. Additionally, users can generate personalized workout routines tailored to their goals, fitness levels, and preferences. The nutrition module calculates individual calorie requirements and offers meal recommendations aligned with the user's objectives. Users can track daily calorie consumption, monitor water intake, record body weight and measurements, and visualize their progress over time through detailed tracking features. A key component of the platform is its AI-powered assistant, which provides three primary services. First, it acts as a virtual fitness coach, offering personalized fitness and nutrition guidance and answering user inquiries. Second, it utilizes image analysis capabilities to estimate the calorie content of meals from uploaded food images, helping users make more informed dietary decisions. Third, it generates personalized weekly summaries that analyze user activity, progress, nutrition habits, and fitness achievements over the previous seven days, providing valuable insights and recommendations for improvement. To further enhance engagement and motivation, Finesse incorporates gamification features such as experience points (XP), achievement levels, streak tracking, and personalized motivational insights. The platform also includes a community feature where users can create posts, share experiences, interact with others, and build a supportive fitness environment. In addition, a leaderboard system ranks users according to their accumulated XP points, encouraging healthy competition and sustained participation. By combining fitness management, nutrition guidance, artificial intelligence, social interaction, and motivational tools within a unified platform, Finesse delivers a smart, adaptive, and user-centered solution that empowers individuals to achieve their health and fitness goals effectively and sustainably.
EcoGrow
(Dr.Mahmoud Asaad, 2026-01-27) Haya Hindya; Layan Barq
The smart agricultural robot aims to assist farmers in tilling their land. We designed and implemented this robot to increase agricultural production, improve crop quality, reduce human intervention, and lower operational costs. Our project integrates electronic and mechanical technologies with programming to automatically control tilling, planting, and irrigation processes. The robot tills the soil using a track mounted at its rear and plants seeds in a systematic manner, promoting plant growth. Additionally the robot measures soil moisture using humidity sensors and automatically activates water pumps when the moisture level falls below the required threshold. This helps maintain optimal conditions for crop growth and prevents drought. One of the most important components of the agricultural robot is a local web server, which allows us to control the robot's movement (forward, backward, right, left). The server also controls the plow's raising and lowering, as well as the water pump, which can be operated automatically (based on the humidity sensor) or manually. Furthermore, the server allows us to control the planting of seeds by opening and closing the servo.
ZOOMCARZ
(Bashar M. A. Tahayna, 2026-06-15) Sadeel Najdeah; Haya Hindiya
ZoomCarz is a comprehensive vehicle rental and purchasing platform designed to simplify and modernize the process of managing, renting, buying, and delivering vehicles through a unified digital system. The project was developed to address the limitations of traditional vehicle rental and sales services by providing an integrated solution for customers, dealers, delivery staff, and system administrators. The system was implemented using Flutter for cross-platform web and mobile development, Node.js and Express.js for backend services, PostgreSQL as the database management system, and Socket.IO for real- time communication. The platform includes vehicle rental and purchasing modules, dealer management, delivery tracking with Google Maps integration, secure authentication and authorization, online payment integration through Stripe and PayPal, real-time notifications, live chat functionality, AI-powered services through the OpenAI API, and a Super Admin dashboard for centralized platform management. API testing, validation, and documentation were performed using Apidog to ensure reliability and maintainability. The developed platform successfully provides a responsive and user-friendly environment that supports multiple user roles and enables real-time synchronization of data across the system. The implementation improves operational efficiency, enhances user experience, and provides a scalable architecture capable of supporting future expansions and advanced intelligent services. Testing results demonstrated the successful operation of the major system functionalities, including vehicle management, payment processing, communication services, location tracking, AI-assisted features, and administrative control, indicating that the proposed solution effectively satisfies the intended project objectives
Axial Flux BLDC Motor & Generator with Embedded Torque Sensing for Performance and Efficiency Evaluation
(Dr. Omar Tamimi, 2026-06-16) Mohammad Ja’afrah; Tala Sharif; Anas Hammad
The development of high-efficiency electric machines has become increasingly important in modern energy systems, particularly in applications involving renewable energy and electric mobility. Axial Flux Brushless (BLDC) machines offer several advantages over conventional radial flux machines, including higher power density, compact structure, and improved efficiency. However, accurately evaluating their performance requires precise measurement of key parameters, especially torque, which plays a critical role in determining system efficiency. This project presents the design and implementation of an Axial Flux Motor and Generator integrated with an embedded torque sensing mechanism for performance and efficiency evaluation. The system is designed to operate in both motor and generator modes, enabling comprehensive analysis under different operating conditions. The embedded torque sensing unit allows real-time measurement of torque, providing accurate data for efficiency calculations. The project follows a systematic engineering approach, including electromagnetic design, mechanical construction, and system integration. Simulation tools and analytical methods were used to optimize the machine design, while experimental testing was conducted to validate the results. The system incorporates appropriate control techniques, data acquisition methods, and measurement instruments to ensure reliable and precise evaluation. Overall, this work provides a practical and efficient platform for analyzing axial flux machines and contributes to improving their design and application in energy conversion systems. The integration of embedded torque sensing enhances the accuracy of performance evaluation, making the system a valuable tool for research and development in electrical machine engineering.