Page 1
Page 1
Interactive drink machine company - (IDM company)
This project is a continuation of our previous project for a hot drink machine by adding the capability for electronic payment and developing the company's management system and making the hot drink machine linkable with the company's server via the Internet and more interactive with the customer through the development of this project according to several aspects. On the software level: An integrated system that allows recording customer requests and executed operations, in addition to information about users, including their personal information, current balance, and executed requests. On the level of employees, their personal information, their work tasks and the operations carried out by them (Receipt and delivery of materials and servicing of machines).
FitBuddy : An artificial intelligence powered personal trainer
FitBuddy App is a sports application that employs artificial intelligence in its job as a personal trainer that enables users to exercise anywhere with convenience, tremendous benefit, and high accuracy. The user can exercise with or without weights, in addition to cycling and running. The user must first provide the application with the personal data it has asked for in order to create an appropriate sports program for the user. After that, the user may explore the sports program's weeks and day's sections.
Developing secure auto-scaling military postponement e-service in Syria
This study is about developing a secure, autoscaling military postponement e-service in Syria, that allows Syrian citizens to conveniently access services provided by the Syrian Recruitment Department conveniently through their smartphones. Currently, many Syrian citizens need to use the services offered by the Recruitment Department, resulting in overcrowding in a single location for similar purposes. This situation places a significant burden on both citizens and the government. The mobile application will facilitate various services such as enlistment and postponing military service by employing a well-designed software architecture that ensures scalability and efficient distribution of these services.
Developing bus management system for AIU
To solve the problem of congestion in bus stops for students, members of the administrative and educational people at the Arab International University, an application was designed that allows the user to reserve a seat on the bus. The application provides prior reservation and enters the study time for the user, the application reminds him for the time of his going to the university. The basic functions of the application are designed according to the general analysis, The development of the application used Laravel, flutter frameworks, AI and MySQL database processing technology. The application has accomplished such functions as notification for location. The test of the application is running in good conditions. The use of the application will solve the problem of bus crowding. The efficiency of the platform makes it a very good candidate to be implemented for any person in Arab International University.
Crime detection camera
This paper presents a comprehensive crime detection system that uses a combination of hardware and software to monitor homes and communities in real time. The system consists of a Raspberry Pi 4B, a Raspberry Pi Camera V2, a flame sensor, an MQ-6 gas sensor, and a microphone, which are all connected to a database management system powered by MySQL. The data collected from these devices is analyzed by machine learning algorithms to detect crimes, such as theft or robbery, as well as fires and gas leaks. The system also includes a mobile app, ‘Safe Home’ which provides live video monitoring and real-time notifications to users, and an employee dashboard to monitor all statistics and manage all implemented systems.
Car deal : The ultimate used-cars marketplace
This is an effort to represents the design and implementation of a mobile application that serves as a marketplace for buying and selling used cars. The application is developed using Flutter, a popular cross-platform framework, and integrates an Artificial Intelligence (AI) model to predict the price of used cars based on various parameters, such as the car's model, age, mileage, and condition. The report provides a comprehensive overview of the project's development process, including the use of agile methodology and various technologies, such as Firebase, Python, and TensorFlow. The AI model's accuracy is evaluated using statistical metrics, such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE).
Building an automated exam system
The project aims to build an automated exam for various exams, fields and institutions, and we have adopted in our project the National Exam for Informatics Engineering. The system builds an automatic exam that facilitates the conduct of exams and their correction automatically. The flutter application was developed to provide a user interface for students and a web page to control the system for teachers and Admins. Laravel will be used as the application programming interface (API) to manage the data and functions of the system. The system builds an automated exam for various specializations to make it easier for students to test their information and their readiness to take the official exam.
Atlas of electroanatomic mapping in supraventricular arrhythmias
For decades clinical electrophysiology has been considered a discipline for adepts, able to interpret not so obvious intracardiac signals. With the advent of new technologies, offering a three-dimensional reconstruction of cardiac anatomy and generating colour-coded maps, the approach to the complex world of electrophysiology is changing: A three-dimensional colour-coded electroanatomic map of a left atrium could be a precise and self-explanatory representation based on intracavitary signals, on which correct diagnosis is made and successul ablation is performed. As expected, this makes the difference especially in cases exhibiting complex arrhythmias (atypical atrial flutters, postsurgical arrhythmias), in which the task could be really tough.
Analysis of Low-Speed Unsteady Airfoil Flows
This book provides an introduction to unsteady aerodynamics with emphasis on the analysis and computation of inviscid and viscous two-dimensional flows over airfoils at low speeds. It begins with a discussion of the physics of unsteady flows and an explanation of lift and thrust generation, airfoil flutter, gust response and dynamic stall. This is followed by an exposition of the four major calculation methods in currents use, namely inviscid-panel, boundary-layer, viscous-inviscid interaction and Navier-Stokes methods. Undergraduate and graduate students, teachers, scientists and engineers concerned with aeronautical, hydronautical and mechanical engineering problems will gain understanding of the physics of unsteady low-speed flows and an ability to analyze these flows with modern computational methods.
AI home decorator
Presents the development of “DesignMate”, an innovative AI home decorator application designed to revolutionize interior design. With three main features powered by artificial intelligence, DesignMate simplifies and enhances the process of home decoration. The first feature leverages an Autoregressive transformer model trained on the extensive 3Dfront dataset to suggest room decor based on room layouts. The second feature employs Generative Adversarial Networks (GANs) to enhance the colors of specific room layouts. The third feature introduces an expert system that tailors decor options to user-entered conditions. DesignMate also introduces an integrated e-commerce platform dedicated to furniture, offering users a wide selection of high-quality items that perfectly complement their preferred room designs.
3D Segmentation for medical images (OsteoVision) = التقطيع ثلاثي الأبعاد للصور الطبية
With the increasing integration of AI across various sectors, artificial intelligence (AI) is already playing a significant role in the healthcare industry, and its use is expected to grow further. AI systems used in image processing and computer vision algorithms have shown a significant ability to perform many operations such as segmentation, classification, and detection. This project presents the application of computer vision algorithms in the field of medical imaging for diagnostic, therapeutic, and interventional purposes. This thesis explores the use of several computer vision algorithms to address different pathologies, specifically brain tumors (glioma) (see Appendix A) and knee osteoarthritis (OA), as well as tracking the progression of knee osteoarthritis using the Kellgren and Lawrence (KL) grading system, a common method for classifying the severity of OA into five grades. To achieve the desired impact, the project employs various techniques, including 3D segmentation for brain tumors, 2D segmentation for knee joints, and multinomial classification for determining the severity of knee OA injuries. The primary aims of the project are to enhance diagnostic accuracy, assist in creating treatment plans, provide an assistive tool for healthcare providers to make more informed decisions, leverage AI's capabilities to detect abnormalities that might escape the human eye, and streamline workflow. To facilitate these goals, the project incorporates a user-friendly UI, a website, and a Flutter-based mobile application, enabling healthcare providers to efficiently integrate these tools into their practice and improve patient care.
