جامعة أم القرى
CCOMP-CSAI-MAY2024F-01
Abstract:A mobile app that helps investors in decision-making through Stock market prediction using machine learning. | Group #CSAI-453-P2-F33 |
CCOMP-CSAI-MAY2024F-02
Abstract:Creative writing is an enjoyable means of self-expression and learning. It s not just about using creative words- but also improving how the brain works in learning new things. Creative writing may be stressful for some children- so it is important to provide the child with fun writing activities. We can define creative writing as" Having the power to create an imaginative- original literary production or composition . Children's creative writing skills develop other skills such as imagination- creativity- communication- and problem-solving. Overall- creative writing is a powerful tool for fostering children's intellectual and social development. It helps them become more confident- expressive- and empathetic individuals while igniting their imaginations and equipping them with valuable life skills. However- in a technologically dependent world- there is a noticeable absence of applications that teach creative writing in the Arabic language. The objective of this graduation project is to address this gap and develop مٌخيلة Mukhaylah application that will teach children creative writing in the Arabic language- using a learning companion named مٌخيلة Mukhaylah. This application employs techniques such as showing pictures to imagine events- complete stories and write stories with friends to enhance the child s imagination and skills. These techniques were chosen based on previous studies in the field of creative writing. aiming to enable Arabic-speaking children to explore their creative potential and allow them to flourish through creative writing. | Group #CSAI-453-P2-F45 |
CCOMP-CSAI-MAY2024F-03
Abstract:The growing popularity of video games among young people reflects how technology plays a key role in youth's physical and mental health. Video games can be enjoyed on various devices- which results in an easy way to reach out and experience the entertaining world of gaming. However- during the ages between 10 to 19- which is a crucial stage of development- mental health plays a major role in this growth progress. More youth are experiencing mental health disorders after the COVID-19 pandemic. At least 13% of people aged 10 to 19 are diagnosed with a mental health disorder- with 40% of people suffering from anxiety and depression worldwide [1]. Studies in Saudi Arabia showed that smart devices are widely used and with them- they made tests using video games where results showed that it can help treat psychiatric patients [2]. One of the goals of Saudi Arabia's 2030 vision is to produce at least 30 video games- which is part of the country's National Gaming and Esports Strategy. There are different genres of video games- and one of the most popular among the youth is Role-Playing Games (RPG). In this type of game- players can embark on adventures and accomplish various quests. Studies showed playing RPGs can help in both educational and therapeutic settings such as increasing social skills- problem solving- emotional intelligence- empathy- and self-esteem. Moreover- we have conducted several interviews with the counseling and advising department at Umm Al Qura University to understand how to advertise mental health among youth. We have been informed that social anxiety is very common among young people- especially the age group 10 to 19 years old. Therefore- we propose Tanafas which is a role-playing game that aims to provide mental health awareness and educational experience through interactive stories about social anxiety. "Tanafas" takes place in a town representing social anxiety where the player s mission is to solve puzzles in various places in the town while learning the importance of mental health awareness. We are hoping that "Tanafas" will help players to understand more about social anxiety and provide them with knowledge in an enjoyable way. | Group #UQU-CS-2023F-12 |
CCOMP-CSAI-MAY2024F-04
Abstract:ABSTRACT The Kingdom of Saudi Arabia- the land of dignity and splendor- embraces a vast diversity of historical culture and heritage where authenticity is blended with historical depth. Aligned with Vision 2030- The rise in global tourism sparks interest in our growing kingdom and increases residents' cultural awareness of their homeland's historic heritage. In this light- we propose to develop a mobile application using a bright lens to showcase culture through images- ensuring it remains an asset to this country and future generations. Our approach includes employing Deep learning algorithms to aid in model training. This will enable users to explore Saudi Cultural Heritage- this project helps people about and appreciate heritage sites- Saudi decorations- and popular costumes. It conveys the meaning and history of these aspects without requiring human engagement. The project's significance stems from addressing the paucity of heritage information among tourists and citizens- particularly those living outside the country. Additionally- the project manages the challenge of accessing Saudi heritage from locations worldwide. Our project empowers travelers to explore archaeological sites independently- a stark contrast to traditional methods that often require extensive study of past civilizations and the assistance of professional guides. | Group #CSAI-453-P2-F18 |
CCOMP-CSAI-MAY2024F-05
Abstract:Psychological and mental health are important parts of human health that affect various aspects of life. Especially nowadays- even children face different changes and challenges from an early age that could leave a long-lasting impact on them. However- many children cannot express or explain their feelings and thoughts properly. Due to that- psychological and mental health specialists found a way to detect mental issues by observing and analyzing different signs in children s drawings. Furthermore- this process of analyzing and detecting mental disorders by professionals is still considered a complex and time-consuming process. From this point- Anamel came up with a solution by employing artificial intelligence to analyze children s drawings and provide diagnosis rates with high accuracy. Prior research in this field mostly focused on detecting psychological and mental issues only by answering a set of questions. Meanwhile- only one study discussed the ability to detect positive and negative feelings in children s drawings. However- a notable gap is the limited diagnosis of specific mental issues- along with the promising accuracy of the detection results. In this project- we worked on training different YOLO (You Only Look Once) versions to analyze a dataset of 500 drawings that were split into 80% training- 10% validation- and 10% testing- each of them annotated by one or more of the label classes: happy- sad- anxiety- anger- and aggression. The data was used to train YOLOv9 and ResNet50 for object detection and YOLOv8-cls for both object detection and classification. The YOLOv9 model reached an accuracy of 95.1% at epoch 150 with a large model size of 5.26 MB. Next- ResNet50 reached an accuracy of 70% at epoch 24- with a very large size of 94.3 MB for the model. Meanwhile- the results of YOLOv8-cls were the most satisfying and achieved the goal of this project by reaching a high accuracy of 94% at epoch 10 with a suitable model size of 2.83 MB. | Group #CSAI-453-P2-F12 |
CCOMP-CSAI-MAY2024F-06
Abstract:Swimming has emerged as one of the most favored sports in Saudi Arabia- particularly in coastal regions. This leisure activity has also changed in the last few years- with more attention and development to be improved. People have been choosing to go swimming at any given opportunity and with their families during the summer. Swimming in Saudi Arabia has seen great improvements in recent years- establishing dedicated swimming pools and specialized sports centers. National teams and athletic clubs have been formed to represent the kingdom in both local and international tournaments. This project seizes the opportunity to contribute to the evolution of swimming practices by developing a system that assists swimmers in performing their exercises accurately. The objective is to provide individuals with a tool to determine the correctness of their swimming techniques. This would happen by recording videos of their swimming exercises and assessing them using computer vision and machine learning technology. By leveraging YOLO and advanced object detection algorithms- we successfully trained our dataset and achieved excellent results. Our model demonstrated an impressive accuracy(mpA) of 0.978 % in detecting swimming techniques and identifying incorrect movements. | Group #CSAI-453-P2-F06 |
CCOMP-CSAI-MAY2024F-07
Abstract:Acute Lymphocytic Leukemia (ALL) is a form of blood cancer that predominantly impacts lymphocytes and white blood cells. Risk factors for ALL encompass genetic predisposition- exposure to specific chemicals or radiation- and a family history of the disease. In Saudi Arabia- approximately 8-712 cases of Leukemia were reported between 1999 and 2013. The diagnosis of ALL entails bone marrow biopsies- imaging studies- and blood tests. Despite continuous research- the precise causes of this severe and often fatal illness remain unidentified. A prompt and precise diagnosis is crucial for effective treatment. Our project concentrated on developing an AI system for diagnosing acute lymphoblastic leukemia (ALL) utilizing advanced models such as YOLOv8- which achieved an impressive 95% accuracy. YOLOv8- a novel model developed by Ultralytics- exhibits a robust architecture that delivers exceptional capabilities for computer vision tasks- surpassing other models tested- including ResNet+SVM at 86%- ResNet-50 at 84.55%- DenseNet at 81.72%- and SVM at 83.95%. YOLOv8 has been integrated into Zumra- a user-friendly system designed to enhance ALL diagnoses. Zumra provides rapid and precise results- enables image uploads for analysis- provides data storage- and delivers model confidence scores- supplying valuable insights to medical professionals. | Group #CSAI-453-P2-F07 |
CCOMP-CSAI-MAY2024F-08
Abstract:Nowadays- technology helps a lot to solve most of life s problems- and- in light of the massive use of social media programs- we noticed that there are no features for blind people or that there are few of these features. Based on that- we will help by introducing our application- which is (insight)- to add a feature that can help the blind category. This feature helps blind people access information and understanding independently without needing someone else to help translate images. We thought of developing a new feature for this category of people- which is to develop an application that works on Image analysis so that it translates the image content into sounds to help these people understand the images. | Group #CSAI-453-P2-F25 |
CCOMP-CSAI-NOV2023F-01
Abstract:Heart disease is one of the most common and serious diseases and a leading cause of death worldwide. It is a major health problem worldwide, and lifestyle changes are crucial for its prevention and management. Early detection and prevention of heart disease through predictive techniques using machine learning algorithms can significantly enhance the diagnosis and management of these patients. However, simply predicting heart disease is not enough; It is essential to provide patients with personalized recommendations on healthy lifestyle choices that can improve heart health. This application aims to predict the occurrence and development of heart diseases in individuals using machine learning techniques. The dataset consists of patients' medical records, including age, gender, blood pressure, cholesterol levels, and more. Data selection and preprocessing techniques were used to reduce data dimensionality and improve model accuracy. With an additional module to suggest specific lifestyle adjustments based on the patient's individual health data. Many popular machine learning algorithms, such as logistic regression, decision trees, random forests, and support vector machines, have been explored to develop predictive models. However, the Random Forest algorithm was applied in our application, which led to better results, and patients can use this information as a precautionary measure to take appropriate steps and improve their health. We believe our app has the potential to reduce the incidence of heart disease and improve overall health by guiding individuals toward healthier lifestyle choices based on their medical history. | Group #UQU-CS-2023F-12 |
CCOMP-CSAI-NOV2023F-02
Abstract:Psychological and mental health is very important to maintaining human productivity, however, most people do not like the idea of going to a psychiatrist or admitting that they have a problem. This project applied the Rorschach test that mainly focused on personality analysis. Our application also pushes positive notifications for users, keeps history records for their previous results, and allows users to share their test results. In our project, we used three machine learning algorithms, namely, Naïve Bayes, Logistic Regression, and Multi Decision Tree Classification for classifying personalities and determining the stress level. Best accuracy was achieved when applying Multi Decision Tree Classification with an accuracy of 67.94%. Whereas the accuracy for the Naïve Bayes algorithm reached 45.94%, and 46.02% for Logistic Regression. | Group #CS-443-P2-F01 |
CCOMP-CSAI-NOV2023F-03
Abstract:According to the Centers for Disease Control (CDC) in 36 children there is one child estimated to be diagnosed with Autism. When it comes to autism, one of the common assumptions is that there is only one disorder; but in fact, it has many different types and each type has a different treatment plan. Autistic children have hypersensitivity to things such as sounds, touches, and smells. There are programs and guidelines and also special care treatments concerning teaching an autistic child. Teaching methods can include daily life skills, social behavior, recognizing emotions, and more so that autistic children can have their rights. According to previous studies, one of the special care methods that are efficient to improve autistic child skills is virtual reality (VR). That is what encourages us to build a virtual reality (VR) game using these programs and guidelines helping us to make a safe experience for the autistic child by going through three stages, which are their home, school, and in public such as the park. | Group #CS-443-P2-F10 |
CCOMP-CSAI-NOV2023F-04
Abstract:Stuttering is a common speech disorder that affects people of all languages globally, including Arabic speakers. The ABAN app is a novel comprehensive stuttering therapy tool designed specifically to support Arabic speakers. This research explores the development and efficacy of the ABAN app, which utilizes machine learning to diagnose stuttering severity and provide personalized therapy exercises. The app employs stuttering modification techniques coupled with advanced machine learning algorithms to decrease stuttering frequency and intensity. The study's participants include Arabic- speaking individuals who stutter, aged twelve years and older. The research methodology comprises a series of tests and questionnaires to evaluate the app's effectiveness over a designated period. The expected outcome of this study is to validate the ABAN app as an effective, efficient, and accessible solution for individuals who stutter in the Arabic language, consequently improving their speech fluency and communication skills. The potential impact of this research is significant, as it could provide a scalable, low-cost approach to stuttering therapy for the vast number of Arabic speakers worldwide. | Group #CS-451-P2-F09 |
CCOMP-CSAI-NOV2023F-05
Abstract:The objective of this graduation project is to develop a real-time image classification system called Sana, which aims to assist autistic children in gaining a better understanding of their surroundings. The name "Sana" is derived from Arabic and signifies light, symbolizing our aspiration for Sana to become a beacon of knowledge for autistic children. Currently, the application focuses on one category, namely fruits and vegetables, with the intention of expanding its repertoire in the future. | Group #CS-451-P2-F16 |
CCOMP-CSAI-NOV2023F-06
Abstract:Universities are diverse educational institutions with students from different backgrounds, including students with disabilities. Students with disabilities face unique challenges in learning and participating in society, and volunteer work for college students may be an important way to help these students succeed. College students have extra free time that they can use for useful work, and there are students with disabilities who may need an extra hand during their college careers. , but finding someone who can help them may take time and effort so we created our app. | Group #CS-451-P2-F35 |
CCOMP-CSAI-NOV2023F-07
Abstract:The Kingdom of Saudi Arabia is now opening its doors to the world by enriching and supporting the tourism sector, where it began receiving millions of tourists of different nationalities, languages, and preferences. With the continuous support of the tourism and technology sectors, it became important to benefit from merging the two sectors together, and this is the aim of this project. “Jayil” supports the 2030 vision tourism and technology sectors by facilitating tourists’ needs from planning their trip, to find attractions, joining travel groups, and converting currencies. It helps them obtain an outstanding tourism experience in one platform. | Group #UQU-CS-2023F-14 |
CCOMP-CSAI-NOV2023F-08
Abstract:Many hospitals deal with foreign pilgrims during the Hajj or Umrah seasons, and it is normal to encounter difficulty in communicating or receiving information and requesting it due to the multiplicity of nationalities and languages, and not realizing pilgrims of the importance of their personal definitions which is their visa to any organization. This project aims to address an issue related to the verification of pilgrims' visas during the Hajj period in the hospitals of the Kingdom of Saudi Arabia, hospitals depend on pilgrims' visas to fulfill entry procedures, these visas are necessary to ensure that pilgrims receive the free treatment they deserve. This process is usually hampered by the lack of a visa with the pilgrim for many reasons. As a result, medical staff is compelled to contact the pilgrim's office to obtain the necessary visa information, leading to delays and disruptions in the procedures and impeding the provision of healthcare services to pilgrims, Hence, an uncomfortable experience for the pilgrim in the health sector. To overcome these challenges, we have employed Artificial Intelligence, particularly facial recognition technology, to swiftly and effortlessly display pilgrims' visas. Nafee is an application that provides a user-friendly interface, enabling employees to access pilgrims' visas by capturing a facial photo of the pilgrim. The application then identifies the pilgrim and displays their visa on the interface. This solution greatly expedites procedures, mitigates the risk of fraud, and enhances the overall experience for pilgrims during their hospital visit. | Group #UQU-CS-2023F-23 |
CCOMP-CSAI-NOV2023F-09
Abstract:In a highly changing technical area, intelligent fashion design systems play a major role in bridging the gap between fashion designers and customers. In the past, designing clothes was a challenge for many people, especially women. Usually, they had to visit a tailor and describe the required design, which may be difficult if the design is complex and hard to implement. Additionally, sometimes they cannot describe the design accurately, and determine their correct measurements manually, which led to not achieving the exact design. Furthermore, Saudi designers may find it hard to share their ideas and communicate with customers due to limited resources, such as the lack of sufficient capital and specialized fashion platforms that support them. Hence, the role of our application (مُصممي) is to make the design process much easier. It will allow people to choose the 3D designs they like easily by providing different models that users can choose from or design their own dress by themselves. Our help does not stop at this point; we will also assist specialized designers in the Kingdom of Saudi Arabia who have the skills and experience in the field of clothing design. By employing their skills and capabilities, we aim to facilitate their communication with customers and provide observations and comments to improve the design created by people. What also distinguishes our application (مُصممي) is the use of modern technology of artificial intelligence to improve the accuracy of taking measurements by extract them from photo that captured by users camera, ensure that people get the right size, and predict the user's body shape based on the taken measurements. | Group #UQU-CS-2023F-08 |
CCOMP-CSAI-NOV2023F-10
Abstract:Road accidents are a major global cause of death and injury, and driver error is a primary factor. One major contributor to driver error is the failure to detect obstacles like potholes, which are one of the most common obstacles on the roads of the Kingdom of Saudi Arabia and can cause accidents or force vehicles to swerve. To address this issue, we propose a real-time road obstacles detection and alerting system. Using camera data in real-time, the system will identify and localize potential road obstacles and alert appropriate authorities. This project focuses on computer vision and artificial intelligence, specifically deep learning, and object detection algorithms. The system will train on a large dataset of road potholes to ensure accuracy and effectiveness. By including an obstacle detection and alerting system in autonomous vehicles, this project can be especially beneficial in the context of self-driving cars. This application has the potential to improve the safety and dependability of self-driving cars on public roads. Furthermore, given the Kingdom's present Vision 2030 goals in constructing smart cities, this technology has the potential to be very effective in this field. The expected results of the system are a significant reduction in accidents caused by road obstacles, improved driver safety, and minimized risks associated with damaged roads. Building such a system will present challenges related to large data availability, system complexity, and differences between real-world road conditions and training conditions. However, we are committed to identifying strategies to minimize these challenges and build a practical and effective system. | Group #CS-451-P2-F04 |
CCOMP-CSAI-NOV2023F-11
Abstract:Al-Hajj is the fifth pilar of Islam, and its obligatory to every sane, adult, capable Muslim once in his or her life. Yearly, more than 2 million people go on pilgrimage, which means more than 5 thousand person per day and managing such an enormous crowd takes a lot of effort and organization to ensure the safety of everyone. The Kingdom of Saudi Arabia has made lots of effort to organize the pilgrimage and to ensure the safety of pilgrims by recruiting volunteers, providing organizers for each campaign and distributing security officers throughout the holy sites. Unfortunately, this process lacks the ability to predict sudden overcrowding that could occur in any of the holy sites which makes it hard to know how many responders should be in such areas or places at that exact moment. Modern organization techniques use wireless devices and requires the presence of at least one person to know the current status of each site. Therefore, we aim in this project to build a smartphone application named ??"Hima | حِمى", to distribute security officers in overcrowded areas. The application could detect the crowded spots in a holy site, such as Arafah and then apply a distribution algorithm to distribute security officers in a way that correlates with the number of pilgrims in each place. Official persona who is responsible for monitoring such distribution will use our application to know the status of the holy areas and number of security officers on each area. Security officers will use our application to receive and accept notifications to relocate to another area that is more crowded than the current one. | Group #CS-451-P2-F26 |
CCOMP-CSAI-NOV2023F-12
Abstract:Reading is a fundamental skill that plays a key role in academic success and in participation in society. Consequently, reading difficulties can affect individuals and society as a whole. Yusr project aims to develop an app that utilizes deep learning, and voice recognition to diagnose developmental dyslexia in children at an early stage to prevent academic delays and minimize negative impacts. To ensure a high level of accuracy in diagnosis, the diagnostic test is divided into three sections: symptoms detection, developmental skills test, and academic skills test. Additionaly with the guidance of Taalom, a character within the app who assists the child throughout the test, the app provides a game-based and interactive testing experience that is more child-friendly. | Group #CS-451-P2-F24 |
CCOMP-CSAI-NOV2023F-13
Abstract:An app to help patients perform prescribed home exercise programs. The project aims to help people in need of physiotherapy by performing knee and arm exercises at home using computer vision and machine learning for the camera so that it can perform pose estimation and detect position when performing exercises, illustrating a counter that calculates both correct and incorrect movements, and showing them an error alert sound when making an incorrect movement. Keywords: exercise, physiotherapy, help, computer vision, machine learning. | Group #UQU-CS-2023F-20 |
CCOMP-CSAI-NOV2023F-14
Abstract:Medicinal plant have been used in traditional medicine since ancient times. However, the process of identifying the plant and specifying thier medicinal properties is difficult, even for specialists, in this project, our aim is to build a system that is capable of identifying the medicinal plants found in Saudi Arabia and their usages using Image Processing and Machine Learning. | Group #CS-451-P2-F06 |
CCOMP-CSAI-NOV2023F-15
Abstract:Skin issues and concerns encompass various types, including Acne-mild, Blackhead, Milia, Cystic, and Pustular. Acne-mild pertains to minor outbreaks of pimples, typically characterized by a few small, inflamed spots. Blackheads involve clogged pores with open comedones, appearing as dark dots on the skin's surface. Milia refers to tiny, harmless cysts filled with keratin that form just beneath the skin's surface. Cystic acne is a severe form of acne characterized by painful, deep-seated cysts. Pustular acne is marked by swollen, pus-filled pimples. | Group #CS-451-P2-F30 |
CCOMP-CSAI-NOV2023F-16
Abstract:The Kingdom of Saudi Arabia is rapidly emerging as a leader in the digital transformation of its cities, with a particular focus on enhancing the two holy mosques of Al Masjid Al Haram in Makkah and Al Nabawi in Al Madinah, which welcome over 50 million visitors annually for Hajj, Omrah, and other religious purposes. To this end, a smart Zamzam water dispenser is proposed as a key component of this digital transformation project, which involves the integration of sensor-based technology and a smartphone application. The proposed dispenser will be equipped with sensors to monitor the water level and the number of unused cups. A cloud-based system will be used to collect and transmit this data to supervisors who can access it through the smartphone application. This application offers supervisors the ability to remotely monitor dispenser status and worker performance, effectively reducing the burden of paperwork traditionally associated with these tasks. By providing information on dispenser maintenance needs, it streamlines the process and eliminates the need for manual documentation. Additionally, the application facilitates the measurement of worker performance through the analysis of response times and performance data, enabling supervisors to efficiently make informed decisions This will enhance the overall process, improve the efficiency of the Zamzam water distribution process, and facilitate the management of the Haram's resources. | Group #CS-443-P1-F25 |
CCOMP-CSAI-NOV2023F-17
Abstract:Islam is the second-largest as well as the fastest-growing religion worldwide. Gratefully, it provides us with a huge set of laws that manages our life, guarantees our rights as Muslims and solves any issue that occurs in our daily life despite its source: social, economic, health or religious related issues. The majority of Muslims are aware of general Islamic laws that they need to adhere to in their daily life such as worship laws. However, there are a reasonable number of issues that are controlled by specific laws and required specialists (Mufties) advices (Fatwas) to be solved. The main challenge here is verifying the trustworthiness of Mufties who provide us with Fatwas. On the other hand, technology is dominating our daily life practices and nowadays an increasing number of questions related to Islamic laws are widely circulated on the Internet. Unfortunately, most of the websites and online Fatwas resources are unreliable and do not provide correct and precise answers to questions of Islamic jurisprudence. So, verifying the trustworthiness of the source is essential to assure where the information is being collected. Therefore, we aim to contribute to solving the trustworthiness issue of the sources behind the increased amount of online Fatwas questions towards minimizing the spread of incorrect jurisprudence laws. We propose a Chatbot that enables Arabic speakers to ask a question, in Arabic, and the Chatbot will provide the correct answer. We plan to design and implement an Arabic-based Chatbot, which will classify the question based on the context in general and the topic category in specific using Machine Learning (ML) and Natural Language Processing (NLP). We will use a dataset that was collected from authorized websites of Islamic Fatwa such as the sites of the Advisory House in Egypt, the Advisory Opinion in Jordan, The official site of the Sheikh and Imam binbaz, the official site of Sheikh Mohammed bin Saleh bin Othaimeen, Islam QA, Fatwapedia, and Islam way. | Group #CS-451-P2-F22 |
CCOMP-CSAI-NOV2023F-18
Abstract:Student’ parents spend a significant amount of time searching for private tutors. "Thaber" solves this issue by providing parents with personal recommendations based on their preferences and needs, facilitating the tutor selection process. | Group #CS-451-P2-F19 |
CCOMP-CSAI-NOV2023F-19
Abstract:[In this report, we propose a computer vision application to help color-blind people identify distinct colors, most existing applications don't support displaying real-time results and almost all of them don't support Arabic language. Our application works based on computer vision and machine learning techniques to identify colors and provide users with real-time results about colors name and degree model. Also, it provides other services such as people who need to take a color-blindness test to find out if they have color-blindness or not, who wants to measure their pupillary distance] | Group #CS-443-P1-F34 |
CCOMP-CSAI-NOV2023F-20
Abstract:Nowadays many systems have appeared that serve the medical field. However, some hospitals are facing a shortage in the field of medical radiation in terms of providing immediate or fast diagnosis. From here our idea was launched to help consultants in diagnosing cases in a quick manner. Shoaa is distinguished as one of the most modern systems in the field of radiology in the Kingdom of Saudi Arabia. As it will provide easy access to resources in a fast and flexible manner while preserving the privacy of patient information. Shoaa system works on two parts, the first part is processing and classifying x-ray images using machine learning algorithms .The second part is the use of ChatGPT by consultants and specialists to support their inquiries and decisions. | Group #UQU-CS-451-P2-F11 |
CCOMP-CSAI-NOV2023F-21
Abstract:Medication management is essential for patients with chronic diseases, children, and the elderly. Many people struggle to adhere to their medical schedules, leading to severe consequences such as hospitalization. It also can help people with hectic schedules to remember when to take their prescriptions. Previous solutions proposed applications that send alarms as reminders for a single person and track medication usage. In addition, most of these application supports languages other than Arabic. In this project, we propose Tafatun, a medication management application. Tafatun allows caregivers to add multiple dependents, such as family members, and track their medication. Tafatun also sends personalized voice reminders and notifications at specified times. Tafatun also tracks expiry date medicines. Tafatun follows historical data on drug consumption, consumption history, and dosage, which can be used for reporting, allowing easy handling of healthcare providers, medical personnel, or researchers in determining the effectiveness of medicine management or identifying potential problems. In addition, Tafatun enables users to add an emergency contact to alert caregivers when the user misses medicine doses for an extended time. These features promote treatment adherence and ensure users do not lose sight of essential medicines. Tafatun helps improve healthcare quality and keep patients safe by offering innovative medicine management solutions. | Group #CS-451-P2-F18 |
CCOMP-CSAI-NOV2023F-22
Abstract:The university gates are often congested due to the necessity to authenticate students' identities. This conventional verification method can be cumbersome, particularly when students face difficulties presenting their IDs owing to network connectivity issues, leading to entrance delays. To overcome this challenge, we introduce a computer vision-driven application, designed to aid university security in swift and efficient identity confirmation. Harnessing the power of facial recognition, this application instantly recognizes and confirms the identity of enrolled students. Additionally, in case of any rule infringements by students, the security personnel can promptly document the violation within the app. This advanced system not only expedites the authentication process but also minimizes the manual workload involved in logging infractions. | Group #CS-451-P2-F13 |
CCOMP-CSAI-NOV2023F-23
Abstract:The Arabic language is considered an important language, especially for Muslims. Also, it's considered one of the most complicated languages because of its linguistic rules and grammar. Most of the problems that Arabic learners face is pronunciation, and from this problem, we got the idea of (Nutq) (نطق). Our project provides services to those who know the Arabic language but find it difficult to pronounce its words. One of these services is using voice recognition to improve the user's pronunciation, by presenting a paragraph that the user can read and at the same time the system will analyze the user's speech to find pronunciation mistakes and give the user notes on how to improve their pronunciation. Another service is the ability to review the paragraphs, it allows the user to listen to the pronunciation of the whole paragraph or listen to a specific word. In the end, we want to present this idea to help people improve their pronunciation and make it better. | Group #CS-451-P2-F36 |
CCOMP-CSAI-NOV2023F-24
Abstract:Due to the significance of the Holy Quran to Muslims, they have always striven to preserve it from distortion and loss. One notable feature of the Quran is its multiple qira’at (recitation styles), which could make it challenging for an individual to recognize all of them. In this context, our project modestly contributes by providing an application designed to recognize qira’at and specific verses from audio files. Additionally, it offers error detection based on the chosen qiraa’a (recitation style). The system utilizes deep learning tools to process the dataset and train the model. The corpus consists of chapter 104 of the Quran (Al-Humza) recited in three different qira’at by professional male reciters and community members. | Group #UQU-CS-2023F-07 |
CCOMP-CSAI-NOV2023F-25
Abstract:Visual pollution refers to the presence of human-made objects that are visually unappealing and disrupt the natural beauty of urban environments. These include graffiti, garbage, sand on roads, etc. This issue significantly impacts the aesthetic quality of neighborhoods, leading to lower property values and affecting mental well-being . We have developed an innovative solution that utilizes computer vision and deep learning techniques to detect visual pollution in Saudi Arabian cities. Our model has been trained with a large dataset of labeled images that were typical scenarios of visual pollution. This approach is intended to overcome the limitations of existing systems that rely on manual detection . Finally, we evaluated the functionality of the suggested system and found that the overall outcome indicates its potential as a valuable tool for detecting visual pollution, potentially improving the aesthetic quality and environmental sustainability of cities in Saudi Arabia. | Group #CS-451-P2-F29 |
CCOMP-CSAI-NOV2023F-26
Abstract:Big brands have survived in today’s fiercely competitive marketplace primarily by placing customer satisfaction at the heart of their strategies. It is pivotal to un-derstand customers’ feedback and pinpoint their preferences, and this is especially true when dealing with product reviews in diverse categories such as electron-ics and clothes. This project introduces “Muhtm”, a unique, web-based solution designed to aid business owners in Saudi Arabia comprehending the variations of customer sentiment in their product reviews through Aspect-Based Sentiment Analysis (ABSA). Muhtm system utilizes product reviews files provided by busi-ness owners and employs specifically trained models for each category, electronics and clothes, to analyze the customers feedback.The results obtained are elegantly presented in detailed charts, ensuring business owners can revisit, and if desired, export the results for further use or review. A comprehensive experimentation was conducted using six different combinations of feature extraction techniques applied to four machine learning algorithms, namely, Support Vector Machine (SVM), Random Forest (RF), Na ??ve Bayes (NB), and K-Nearest Neighbors (KNN). Re-markable accuracy was achieved in the aspect-based sentiment analysis when ap- plying Term Frequency-Inverse Document Frequency (TF-IDF), Part of Speech (POS) tagging, and tri-grams; for electronics reviews, the RF algorithm surpassed its counterparts, boasting an accuracy of 86.26%. Whereas, for the clothes category, the SVM algorithm excelled yielding a slightly higher accuracy of 86.39% | Group #UQU-CS-2019F-03 |
CCOMP-CSAI-NOV2023F-27
Abstract:This project aims to conduct a special announcement system that send notifications to the phones of hospital staff. The hospital staff can report the emergency code alert and send all the information about the emergency, and the system will dispatch it all around the hospital using beacons without causing panic among patients and visitors to the hospital. Beacons should be installed everywhere around the hospital to deliver the notification to all staff. This can help in response to any urgent situation or when a medical emergency arises to prevent the patient's health from deteriorating. | Group #CS-451-P2-F05 |
CCOMP-CSAI-NOV2023F-28
Abstract:The current 911 system relies on human call-takers to analyze emergency calls and direct field staff, which can lead to errors and delays in response time, jeopardizing lives. Artificial intelligence technology can improve the efficiency and accuracy of emergency response efforts by reducing wait times and enhancing understanding of complex emergencies. To expedite the response process, minimize wait times, and reduce errors, a system that employs artificial intelligence techniques was developed to support 911 calls in Arabic. A dataset was collected and prepared for building and evaluating various classification methods for the task of direct analysis of emergency calls in Arabic. Six machine learning algorithms were used for call classification and priority, and the logistic regression algorithm achieved the highest accuracy score (95%). | Group #CS-451-P2-F21 |
CCOMP-CSAI-NOV2023F-29
Abstract:Alzheimer's disease (AD) is a debilitating condition that affects millions of people worldwide, and it is known to severely impact their daily lives. As the disease progresses, patients may experience memory loss, difficulty with language and communication, disorientation, and confusion, making it challenging for them to manage their daily routines. In Saudi Arabia, the prevalence of Alzheimer's disease is increasing, and therefore, it warrants attention and treatment. Thus, the aim of this work is to support Alzheimer's patients with mild cases (at an early stage) to remain involved in the community and continue to live independently. Hence the idea of Anees. It is an application that focuses on the psychological and social aspects in particular, because what frustrates them most and worsens their condition is when they are exposed to forgetting the names of the people closest to them or important events. In order to avoid these embarrassing situations, some patients prefer solitude which only exacerbates their condition. So, Anees will be their assistant in this regard in the beginning, as our application will issue scheduled voice notifications to alert the patient of his presence, then wait for the patient's response during a certain period in the meantime if the patient's response is positive "Yes/نعم," the application will open for the patient after facial recognition. Responding "No/لا "will close the application and send an alert notification at another time, this is a great feature of the application as it reminds the patient in case, they forget that there is an application to help them. We thought about all these processes to avoid the problem that the patient may sometimes forget that there is an application that helps him and makes it easier for him. Anees application will provide several services to help patients in the simplest ways, such as organizing and scheduling medication and personal appointments and constantly reminding them of pictures of family and friends, the most important events, and some exercises to stimulate memory. | Group #UQU-CS-2019F-15 |
CCOMP-CSAI-NOV2023F-30
Abstract:The idea of this project is to utilize some of the AI capabilities to help in matching user’s profile using some predefined criteria. This will be applied in the context of finding the most appropriate human interpreter for the request at hand. For instance, if a person requires a human interpreter to go with him/her for an appointment in a hospital which requires a person who can understand medical terminologies and ensure providing an accurate translation. Our tool will help to find the best candidate based on matching service requestor’s profile with the available interpreter’s profiles. This stage of the project will target overseas students who are studying at Umm Al-Qura university and can help in providing some translation services to the various entities within the university and scholars. | Group #UQU-CS-2023F-33 |
CCOMP-CSAI-NOV2023F-31
Abstract:Murals is a unique language invented by man since ancient times as a tool for human communication before writing and calligraphy appeared. It is one of the fields of visual art, which had a great spread in history both ancient and modern. Despite the great efforts of the Ministry of Municipalities Rural Affairs and Housing (MOMRAH) of ensuring a high level of quality for the residents and visitors to the Kingdom, we believe that existing solutions such as “snap and send” in Balady app is unable to provide an ultimate solution. In this report , we aim to use deep learning approach in particular the Diffusion model to generate multiple artistic murals. The results of this research are anticipated to support the culture and history of the city and will contribute to the envision of making Saudi Arabia cities a smart cities. | Group #CS-451-P2-F17 |
CCOMP-CSAI-NOV2023F-32
Abstract:Athaar application using augmented reality is an application designed to explore new historical and archaeological places and explore the surrounding areas. Tourism in Saudi Arabia has been produced by providing the user with information through various means such as texts, videos and 3D models in the real world environment as captured by a smartphone camera. The application provides three services: The first service is implemented through an augmented reality camera that displays information about historical or archaeological sites, or when the tourist camera is directed towards them, through written text. The second map service for the largest historical monuments in the Kingdom of Saudi Arabia. By tracking the user's location, it provides constant map directions to nearby tourist and historical sites. The third service is for the user to search for the local area and display information about it. | Group #CS-451-P2-F32 |
CCOMP-CSAI-NOV2023F-33
Abstract:By Vision 2030, the wildlife sector has become very important, and one of the 2030 vision’s goals is to improve and develop wildlife to preserve biodiversity. Invasive species are responsible for a third of animal extinctions in recent times, and they cause major environmental damages, costing approximately $1.5 trillion globally [12]. Because early detection and rapid response systems are key to mitigating invasive species growth and maintaining the ecological balance, the purpose of this project is to discover a new solution to automatically detect and classify invasive species (birds). In this project, we proposed a unique architecture, and developed a smart detection and classification system utilizing the power of Computer Vision and Artificial Intelligence to detect and classify invasive birds. Generally, the process of controlling invasive species in hotspot areas is carried out manually; therefore, developing a smart detection system will reduce human effort drastically and make the detection process faster and more accurate. | Group #CS-443-P1-F28 |
CCOMP-CSAI-NOV2023M-01
Abstract:In the educational system- attendance is one of the core measurements of a student s behavior- their educational status and it heavily affects their GPA or final score and how much knowledge they ve gained from the course- so for that reason this project aims to monitor their attendance automatically using face recognition- this will not only solve their attendance problems but also check how much time they re actually in class since it does regulatory checks- it will also help keep them in class unless they have to leave and take their attendance automatically which saves more time for the lecture itself and relief the teacher/professor from the attendance process. All of this is done using a camera then with facial recognition the system will be able to recognize the students faces and take their attendance based on the current time and the current class. MUTABE is going to help a lot of faculty members give more attention and time to the class s subject instead of taking attendance by themselves- it will also help student s educational behavior and keep them in check- while also encouraging them to attend their classes and focus on their subjects. We expect that the program will automatically work once the class session starts- and takes attendance without human intervention- afterwards this will result in a report made for that specific class that shows who attended and who didn t. We are going to use web Programming Languages alongside Python or JavaScript to combine these technologies in an efficient and useful manner. In the future we would also like to support non-educational institutions like companies- hospitals- civil affairs- etc. | Group #CS-443-P1-M05 |
CCOMP-CSAI-2023F-01
Abstract:In light of the increasing ambition of Saudi citizens to produce local products- we faced a problem when we want to search for local Saudi products- there aren't platforms or applications that could show shops and what they provide- in the worst case that there is only the image of the product in your hands without knowing the name of the shop who provide this product. And here becomes the idea of Saudi Qumra to solve this problem by creating an application that some of Saudi products by Web Scraping Instagram store accounts images and providing stores that have been verified by Maroof. And the main feature of Saudi Qumra app is the search by image method using CBIR improved with CNN architecture. | Group #UQU-CS-2022F-30 |
CCOMP-CSAI-2023F-02
Abstract:Malware threats become more dangerous- and every application we use daily can get hacked in multiple ways. In recent years many attackers used malicious URLs to download viruses- trojans- ransomware- or any other type of malware that will compromise machines or networks. Hence- we propose a machine-learning-based solution to detect these URLs in the background without requiring additional steps from the user. First- we will train a machine learning (ML) model to classify URLs into malicious or safe ones using one or more classification algorithms. This machine learning-based solution helps make analytics smarter and faster- with the ability to scale alongside ever-increasing amounts of data. Unlike most available tools- which deploy the model on a mobile application- we customized the Android OS to embed our malicious URL detector so all URLs in any application will be checked in the background once the user clicks on them from any installed application. The project employed RF model with a competitive performance- then the model was converted and deployed to Java. After that- a version of the Android Open-Source Project was downloaded- customized with the malicious URL detector- built and tested on the Emulator | Group #UQU-CS-2022-08 |
CCOMP-CSAI-2023F-03
Abstract:Tourism has been one of the main aspects considered in Saudi Vision 2030. As the tourism industry seeks to bring a steady income to the Saudi s economic- a huge focus should be on providing better solutions to enhance the overall experience to those who are interested in visiting Saudi. The goal of this project is to introduce Hena Saudi ِهنا السعودية - a mobile recommendation application that will improve and offer the greatest experience to both visitors and locals. The application presents events and tour guides based on the visitor s preferences- creates trip plans to the different attractions and events all year round. As well as it provides some additional information that might be useful for the visitor. The application is supported by a recommendation system algorithm and ranking algorithm- and a cloud database system (Firebase) to be run on mobile devices for better mobility and accessibility. | Group #UQU-CS-2022F-04 |
CCOMP-CSAI-2023F-04
Abstract:Inscriptions are an important source of historical information and are often found on hard surfaces such as stones and monuments. The Musnad font is considered one of the earliest forms of writing in the Arabian Peninsula- preceding the modern Arabic font. The discovery and preservation of these inscriptions provide valuable insights into the history and cultural heritage of the region. The Musand font had remained unaddressed despite the efforts of numerous researchers to recognize ancient characters in various languages. This project represents a significant contribution to the field as it is the first successful attempt at recognizing the Musnad font. In this project- a method was proposed for recognizing the Musnad font. A dataset was collected from the Ministry of Culture- and the images have been preprocessed for the recognition process. The preprocessing step entailed several experiments to enhance the quality of the images and prepare them for recognition. The dataset was trained and tested with 29 clases using three different CNN architectures: VGG16- ResNet50- and MobileNetV2. The performance of each architecture was evaluated based on its accuracy in recognizing the Musnad font. The results showed that VGG16 had the best accuracy of 93.81%- followed by MobileNetV2 at 93.52% and ResNet50 at 89.39%. Although the VGG16 model achieved the best recognition accuracy- the performance of the other models in recognizing the Musnad font was also considered high. | Group #UQU-CS-2022F-07 |
CCOMP-CSAI-2023F-05
Abstract:Arabic language is one of the most spoken languages around the world- and one of the most prolific languages in terms of linguistic material. It is necessary for us as a Muslims & Arab to learn the language correctly with its proper pronunciation- since it is closely related to the Holy Qur an. Learning Arabic with correct pronunciation at an early age is one of the best ways to make the children have a rich and powerful language with the correct pronunciation- which is a challenging task for parents. One of the best ways that help the children to learn the correct Arabic language pronunciation is using AlQaida Al- Nooranih. This report shows the idea of building a system that help and facilitate learning the correct Arabic language pronunciation for children using Al-Qaida Al- Nooranih by using the speech recognition- the system will determine if the child pronounce the exercise correctly or not- which will improve their reading pronouncing skills. | Group #UQU-CS-2022F-15 |
CCOMP-CSAI-2023F-06
Abstract:Astronomy is a significant topic and considered as one of the recurring contemporary issues in the media where many new exoplanets and space tests are frequently appeared. Due to its significance- the Kingdom of Saudi Arabia paid a great attention to the astronomy- which is represented by the establishment of Saudi Space Commission (SSC) by Royal Order in December 2018 (Rabi II 1440). SSC aims to achieve the objectives of the Kingdom's vision 2030 through providing quality knowledge for outstanding people in priority areas such as the space sector. Due to the lack of Arabic literature in this sector- there is a critical need to conduct research- develop programs and applications by different organizations- societies- and individuals in the kingdom to support SCC's objectives. Hence- we propose FALAK application as an attempt to contribute positively in this regard. Our study will shed the light on the lack of knowledge in the society about astronomy and the competent Saudi authorities towards helping amateurs to get support and professionals to communicate. We envision this app as a reference platform for both amateur and professional users in the kingdom to share their interesting findings and images. Users of this app will also learn about various astronomy topics- which consequently will increase their awareness and enhance their knowledge. | Group #UQU-CS-2022F-16 |
CCOMP-CSAI-2023F-07
Abstract:This project aims to provide educational game for autistic children in Arabic language using social actor called Ladona and to help them improve some skills through entertaining educational games for the child. Our programs can be used by centers specialized in the treatment of autism and by children with autism. | Group #UQU-CS-2022F-18 |
CCOMP-CSAI-2023F-08
Abstract:An application on mobile phones to help people check the correctness of the hadith and memorize it easily using the application | Group #UQU-CS-2022F-20 |
CCOMP-CSAI-2023F-09
Abstract:This project idea was created by the developers to solve some of the problems of university buses- often the difficulty of communicating with the driver and not knowing the time- place- and absence of the bus- leading to a waste of time and effort. The issue of transportation and communications- in general- suffers from university students. Our application has been developed to know the location of the bus and know the arrival and departure times- and to be able to send notifications on the application enabling the student to request the bus at the required time- knowing the possibility of arrival and time. | Group #UQU-CS-2022F-21 |
CCOMP-CSAI-2023F-10
Abstract:When you shop at a supermarket- you can quickly get an idea of the different food products available there with their ingredients. Some of these products- particularly those from foreign countries- may contain ingredients that are not HALAL and are therefore unsuitable for Muslims as defined by the Holy Quran. Muslims typically grow up in their family's homes- cities- and villages- where they can choose from a variety of foods and drinks that are free from all HARAMs. The risk comes from traveling to foreign countries- though- as not everyone can identify and avoid HARAM ingredients in any given product. Additionally- some people must avoid certain products because they contain allergenic ingredients. These factors must be considered to prevent any health issues brought on by ignorance. The main aim of this project is to build an application that will combine all the necessary functions and features of popular applications- that can be used by both Muslims and non-Muslims who are concerned about HALAL food alike- in a way that the consumers can find all the needed information together in one place. The consumers can search by selecting the country then the E-number of the selected country appears- also consumers can scan the ingredients part of the product and then easily know if the product is HALAL or HARAM without any effort to read the whole ingredients of the product and waste their time and effort. Especially- not everyone is fully aware of the forbidden ingredients- others do not have a language or may not be interested in reading the ingredients. So- this feature would be useful for people while traveling to countries that do not ban forbidden food. In addition to this- an extra feature allows users to identify the food components that cause allergies- and the application then works by alerting them to the products that contain these allergens to avoid falling into any health problems. So- they would not have to worry about manually finding these components. To do so- we focus on scanning and analyzing the text of ingredients that are found on the product using Optical Character Recognition (OCR) technologies and applying Natural Language Processing (NLP) techniques. The application also provides the feature to search for a specific component (by its E-code/number ) of the product to find out whether it is HARAM or HALAL and give more details about it. We perform a survey to determine the need for this application by distributing some questions to various community groups- and the results demonstrate that there are some issues and challenges that people may encounter when reading some of the prohibited ingredients or some ingredients that may cause allergies that could result in their death. This could be because of having trouble understanding a certain language or not understanding the difference between HALAL or HARAM substances and others. ------------------------------------------------------------------------------- The E on E numbers on a food label stands for Europe . Food E Numbers are a set of codes for substances used as food additives. It is the cover of any common food. It is a label for additional substances or additives which are added to food to extend its durability or enhance the color and taste of the product. E- numbers are split into categories making it easy to identify the job they do [1]. | Group #UQU-CS-2022F-23 |
CCOMP-CSAI-2023F-11
Abstract:Nowadays- the pick-up process is carried out disorganized- draining a lot of time and effort for parents. In addition to having some difficulties like congestion in pick-up children and communicating with the school Therefore- the Sarfa application reduces traffic congestion in public schools and makes the pick-up process much more organized. So the parents can take out their children without any trouble with traffic congestion- saving their valuable time and reducing accidents- and offering the children safety. | Group #UQU-CS-2022F-27 |
CCOMP-CSAI-2023F-12
Abstract:( an application that scan QR code and show the price- expiration date- ingredients-etc | Group #UQU-CS-2022S-01 |
CCOMP-CSAI-2023F-13
Abstract:In today's world- using social media has become an essential part of daily life. For example- WhatsApp. Whether they are active social media users or not- most people have heard of WhatsApp. One of WhatsApp's most populous groups is Middle Easterners. In recent years- an increasing number of Arab children have used WhatsApp to communicate with others on a local and global scale. This may have several negative consequences in their lives. This includes the consequences associated with being bullied and harassed online- so we propose Etiqa'a | اتقاء- an application aimed to minimize risks and keep threats against minors from becoming a reality. The application is based on WhatsApp messages- which would then be received- analyzed- and classified using machine learning model that uses Logistic Regression (LR) algorithm which our result showed to have an accuracy of 81.2% to classify the message as appropriate or inappropriate based on the text of the conversation- and then the application sends a detailed alert to their parents based on the inappropriate threats that are detected. We believe that our project will have a significant impact and will provide more security to young WhatsApp users. | Group #UQU-CS-2022S-02 |
CCOMP-CSAI-2023F-14
Abstract:Prayer is the second pillar of Islam- a link between the servant and his Lord- and Muslims must perform it five times a day. There are many postures in the pillars of prayer and its duties that must be performed in a precise manner. However- many Muslims- young and old- do not perform prayer properly due to having learned to pray incorrectly- having no one to personally guide them- or being new to prayer. To address this issue- we proposed developing an Artificial Intelligence as- sistant app using deep learning to guide worshipers by detecting the wrong postures in their prayers- assessing their mistakes- and showing corrections. The Istaqim application came to achieve this goal by training the YOLOv5 neural network to recognize the correct prayer postures. The results are shown with pictures and the percentage of the error in each prayer posture. | Group #UQU-CS-2022S-03 |
CCOMP-CSAI-2023F-15
Abstract:Mental illnesses have increased in recent years- especially after Covid-19 pandemic. In Saudi Arabia- the number of psychiatric clinics is small compared to the population density. As a result- psychologists face a number of challenges in their work. First challenge- some patients refuse to visit psychiatric clinic. Second- the diagnosis for the same symptoms is likely to be different between psychologists depending on their experience and the reference they rely on. Last issue reported by psychologists is the long time needed to calculate the results of psychological tests. The main objective of the current project is to build an assistant system for the psychologist to facilitate- speed up and standardize the diagnostic process based on the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders). The work on this project started by collecting the requirements and identifying users needs. In this matter- several interviews have been conducted with Psychologist Majid Al-Malki and then a questionnaire was developed and distributed to psychologists in Saudi Arabia. After that- the requirements and needs were analysed then the system was designed. To overcome the problems reported by psychologists- deep learning algorithm was used in the diagnosis process. In addition- the proposed system assists psychologists by calculating the result of psychological tests in a few seconds. The system was built as a website. CNN algorithm was used with 96% of accuracy to automatically predict the appropriate diagnosis and suggest the most suitable psychological test for the patient take. System testing and user testing were also conducted by involving patients and Saudi psychologists to test the usability of the system and the accuracy of the CNN model. The results show that the prediction of diagnosis was correct- and the time taken to complete each task was short. This was a reflection of the high accuracy of the model- and simplicity of the Saber s interfaces. In Addition- the feedback of psychologists was positive and great. | Group #UQU-CS-2022S-05 |
CCOMP-CSAI-2023F-16
Abstract:Visually impaired individuals often encounter various difficulties in their daily routines. ABSIR- however- offers a comprehensive solution to overcome these challenges and assist in their daily lives. The application has been developed to identify objects for the visually impaired- offering a valuable tool for those with visual impairments. One of its prominent features is the customization of color-filtering options- designed to meet the specific needs of color-blind individuals. In addition to addressing practical challenges- ABSIR prioritizes the emotional and mental well-being of its users through a supportive and encouraging voice. This personalized touch adds value to the application and serves as a reliable and convenient tool to help visually impaired individuals navigate daily tasks with increased ease and safety. ABSIR has the potential to significantly enhance the quality of life for visually impaired individuals by providing the necessary resources and support to effectively handle daily challenges- whether it be recognizing objects- navigating unfamiliar spaces- or managing daily stress. In conclusion- ABSIR is a comprehensive solution that addresses the difficulties faced by visually impaired individuals and offers innovative features with a personalized approach. This application provides independence- safety- and overall well-being in daily life- making it a valuable resource for anyone looking to improve their daily experiences and lead a more fulfilling life. | Group #UQU-CS-2022S-06 |
CCOMP-CSAI-2023F-17
Abstract:As we grew up in Saudi Arabia and grew up with technology- we became more enthusiastic to make the world smarter by utilizing new technologies to solve our daily problems. Congestion is one of the most pressing issues in the transportation sector. According to statistics- 8 million trips are made every day in Riyadh city- with traffic on its streets lasting until late at night. Over the years- traffic has become increasingly worse in most cities around the world. And we don't seem to be able to solve the problem with the usual solutions! We are developing a smart traffic light network for this project. Computer vision Mathematics are used to calculate the optimal green signal timing- update the red signal timing- and switch between them. Utilizing artificial intelligence will save people time and facilitate the development of a smart city. | Group #UQU-CS-2022S-09 |
CCOMP-CSAI-2023F-18
Abstract:Overcrowding in emergency departments is a global concern that affects the healthcare system; it is one of the main limitations of fast- correct- and efficient healthcare. The recent global pandemic has shed more light on this problem and the risks involved. This work provides a unique solution to solve this problem by leveraging Internet of things (IoT) technology. We introduce a mobile application- Aown- which aims to minimize the overcrowding in emergency departments by- firstly- guiding the user to the most appropriate emergency department based on the crowdedness and- secondly- delivering self-check-in service. This document discusses the research- analysis- and design behind this application that can help manage and control the crowdedness in emergency departments. Finally- we evaluated the proposed application functionality- usability- and hardware comparability. The overall result showed that the application is a promising tool that could open new possibilities toward less crowded emergency departments around the globe. | Group #UQU-CS-2022S-10 |
CCOMP-CSAI-2023F-19
Abstract:Mahatati system is a system that helps reduce fraud and manipulation between customers and the gas station and helps secure payment through two elements- the first is a tank linked to an application via a QR code that reads the number of liters from application- and the second is the Mahatati application that provides safe and easy payment using Apple pay- and the application will offer Other services for customers. | Group #UQU-CS-2022S-11 |
CCOMP-CSAI-2023F-20
Abstract:Children at the age of four to six have difficulty expressing their feelings. Through our research- we found that applications that help to understand feelings are often limited in terms of extracting the emotional state of the child or may be limited to some visual and audio images that are used to teach children about emotional states. However- many applications that help parents and guardians to understand the emotional state of a child do not support the Arabic language significantly. Moreover- research has proven that the inability to understand children s feelings may lead to problems in children's behavior and negatively affect their future lives as adults [1]. Hence- we are proposing Sho our - through which it is possible to understand the emotional state of the child- specifically whether he is happy or unhappy. Sho'our application will help to overcome the aforementioned shortcomings. The application is designed for any educational institution- such as kindergarten where they provide educational lessons for children within the age group of 4 to 6 years. It will help teachers and parents to analyze and determine the feeling of the child if he is happy or unhappy by relying on the deep learning algorithm of Artificial Intelligence named Convolutional Neural Network (CNN)[2]. The algorithm will analyze the child's facial expressions after being trained on a dataset. Once the analysis is done- then a list of questions will be generated according to how the child is feeling to understand why he is feeling this way. Moreover- the application will provide parents and kindergarten teachers with daily or weekly visual reports to give them the ability to understand the feelings of their children and understand their needs and take these feelings into account to meet their requirements. The application is designed for Android smart devices and will support the Arabic language. | Group #UQU-CS-2022F-12 |
CCOMP-CSAI-2023F-21
Abstract:The COVID-19 pandemic has completely changed online shopping behaviors. Many people relied on the internet for online shopping and entertainment during the lockdown measures. Consumers faced many difficulties and challenges during the coronavirus era- including dealing with foreign sites with different languages and currencies. On other hand- with the numerous middlemen account on all social networking sites- the consumer may need to investigate and look for an honest review of the broker. Furthermore- comparing the pricing of tens of brokers' commissions will be exhausting and will require time and effort. In many cases- the client may be hesitant to transfer money to the broker since it would raise the chance of fraud. Thus- we seize the opportunity to offer an efficient official application- namely Tiasir. Our app seeks to solve all these problems by bringing the client and broker together in one environment- eliminating the need to return to social media platforms. The brokers can register in our app after verifying the validity of their legal documents including their Maroof number and tthe code of the freelance document. This will make it easier for the client to choose the best brokers through their evaluations based on previous orders and commission offers list. The payment methods will be through Visa or Mada or PayPal systems only- personal broker's account will be not allowed. Due to the high credibility of these methods- the payment procedure will be speedier and safer between the two parties and there won't be any chance of fraud. Finally- the app will be developed for the Android platform. | Group #UQU-CS-2022S-13 |
CCOMP-CSAI-2023F-22
Abstract:Due to the rapid advancement of technology and the growing demand for experts on the labor market- there is a great need for freelancers. Freelancers find it challenging and time- consuming to continuously update their CV in accordance with the organizations requirements due to the daily increase in competition and the skills of applicants. To help the freelancers increase their chances of landing jobs- we propose Seekers - an application that combines an Applicant Tracking System (ATS) parser and a recommender algorithm. The ATS parser revises and checks the freelancer's CV based on the skills that match the job title that the applicant wishes to apply for. On the other hand- the recommender algorithm suggests the appropriate freelancer to interested companies in need- which enhances the hiring process and reduces the time it usually takes. | Group #UQU-CS-2022S-14 |
CCOMP-CSAI-2023F-23
Abstract:Fatigue is a feeling of constant tiredness or weakness that can be physical- mental or a combination of both that everyone experiences at some point in their life. Fatigue occurs due to of many causes such as various lifestyle habits: lack of or excess of physical activity- not enough sleep- unhealthy eating habits; and some medications. Unfortunately- fatigue results in severe consequences such as slower reactions- decreased awareness- lack of attention- underestimation of risk- reduced coordination which in turn can lead to errors and accidents. Hence- detecting fatigue is critical to minimize its consequences and utilizing technology is promising in this regard. In this research project- we proposed a General Fatigue Detection Model (GFDM) using Yolo to detect individuals' fatigue through their eyes and mouths movements captured in videos recorded by smart phones cameras in real-time manner. GFDM can detect more than one person at the same- which makes it a suitable model for many applications in transportation- surveillance and education fields. GFDM accomplishes its task utilizing artificial intelligence algorithms and deep learning neural networks with average accuracy 0.85. We reached to this promising result after creating several models and testing them with different datasets. Since fatigue is a well-known risk factor in motor vehicle and workplace accidents- and transportation is important part of everyone s daily life- we developed "Kun Amn" application as a proof of concept. This application aims to monitor drivers situation in terms of fatigue using the proposed GFDM and the smart phone camera towards avoiding traffic accidents. | Group #UQU-CS-2022S-17 |
CCOMP-CSAI-2023F-24
Abstract:Halal food: It is what is permissible to eat from animals or plants- taking into account the conditions and controls- and that it does not include what is prohibited by Sharia. It is the duty of every Muslim to know the contents of the product to make sure that they are all halal- and this application will help them and make it easier for them without reading the complete ingredients by using scanning and text analysis with an Optical Character Recognition (OCR) is a process that converts an image of text into a machinereadable text format and it's can take advantage of artificial intelligence (AI) to implement more advanced methods of intelligent character recognition (ICR)- like identifying languages or styles of handwriting. It also helps people who are allergic is one of the most annoying diseases that affect many people. Shortly after eating certain types of foods- allergy symptoms begin to appear- and the symptoms differ from one person to another and sometimes cause itching- skin irritation and various symptoms. And there are other properties in the application- including stores there are halal products- and there are categories in not halal products. | Group #UQU-CS-2022S-19 |
CCOMP-CSAI-2023F-25
Abstract:This system will serve as a conduit between students- supervisors- the Graduation projects committee- and Umm Al-Qura University management for the organization of the graduation projects process automatically. | Group #UQU-CS-2022S-22 |
CCOMP-CSAI-2023F-26
Abstract:The classification of gemstones is one of the daunting tasks faced by the gem industry for two reasons. The first is the color differences presented in the same type of gemstone which are often difficult to detect with unaided eye- or take long time by expertise. The second is a time-consuming process and requires a large number of instruments for measuring physical properties important for the identification. Another issue is publishing ambiguous information of gemstones features that could be inaccurate. From this perspective- we propose to develop an application to help traders- and gemstone collectors to detect the types of gemstone instantly in the Kingdom of Saudi Arabia- as well as identifying gemstones automatically. PIETRA is an application that helps to identify the type of gemstone from its image. The application uses Computer Vision Framework algorithms to give the best guess of the type of gemstone. The user can also publish pictures of gemstones on his own page and communicate with other users. | Group #UQU-CS-2022S-24 |
CCOMP-CSAI-2023F-27
Abstract:A significant cause of health problems and deaths worldwide is adverse drug reactions. Tayaqqan application was established for the Kingdom's Vision 2030 to ensure the continued development of healthcare services in Saudi Arabia. The application enhances awareness of adverse drug reactions and guides patients- healthcare providers- newly graduated pharmacists- and nutritionists with the appropriate resources for Drug-Drug- Food-Drug- and Vitamin- Vitamin Interactions using image detection technology to prevent serious health consequences. | Group #UQU-CS-2022S-25 |
CCOMP-CSAI-2023F-28
Abstract:with the commercial progress that we see in the Kingdom of Saudi Arabia- we see the existence of a lot of investments that can be beneficial to us as users and beneficial to the investors themselves- but sometimes some investors face a problem in choosing the right investment location despite the fact of the validity of his study of his investment- therefore- we aimed to aid in creating a system to analyze the surrounding geographical data to reach out the right place and improving decision- making process by displaying an approximate percentage of the success of his investment based on this data and throughout both figures and statistics that we analyzed- and all this done through data analysis and which has opened a world of analysis of all kinds of data to serve society. | Group #UQU-CS-2022S-26 |
CCOMP-CSAI-2023F-29
Abstract:Objective: Most persons who have been diagnosed with Alzheimer s are looked after at home by family members- including children- grandkids- friends- and others. For the family caregiver- taking care of an adult with Alzheimer s disease can be very trying. When the long-term caregiver wants to take a break he will need to temporarily delegate caregiving to another family member or professional caregiver- such as a home nurse. The process of transferring care is known as -Handover process- in the health sector- although it is less structured at home than it is in hospitals and involves sharing information between caregivers to preserve the recipient s safety by lowering the risks and errors that may occur. The objective of this project is to build an application (Sanad) that guides the process of transferring information between caregivers in Arabic using the SBAR tool known to the health sector. We focus on elderly people diagnosed with Alzheimer s by a doctor- which is a form of dementia. By arranging the archiving of information flow between two caregivers- the design objective is to decrease the likelihood of misunderstanding or information loss- as well as to reduce mistakes. Method: Due to our research nature we take a user-centered approach- gathering information through a survey we designed to understand the techniques currently used by Primary- secondary- and assistant caregivers. we get information from either selected studies or data from interviews. the chosen studies were selected by searching in google schooler- ACM- and National Center for Biotechnology Information. Conclusion: According to earlier research- primary caregivers suffer from pressures and diseases more than others because they care about care recipients for a long time. Because of this- the Sanad application was created to make it easier to transfer information about care recipients between caregivers- lower the possibility of error using the SBAR tool- and lessen the pressure on the caregiver by drastically reducing the amount of data that must be added and utilizing techniques to extract text from images and convert audio to text. | Group #UQU-CS-2022S-29 |
CCOMP-CSAI-2023F-30
Abstract:Children with miss-articulation need to attend speech and language therapy. They should practice speech exercises regularly to overcome speech difficulties. Since doing speech exercises can often be tedious and frustrating. We desire to develop an application game for children that aims to assist the mispro- nunciation quality of words containing the letter ???? in Arabic and to motivate children in such a way that they can complete the required speech exercises in a fascinating and stimulating way that they enjoy and improves their pronunci- ation at the same time. Our application game can use at home under parental supervision. It supports and helps the Speech-Language Pathologist (SLP) to overcome the miss-articulation problem. This game will use an Arabic Auto- mated Speech Recognition System (ASR) to classify speech productions. This system is based on the open-source Sphinx-4 and was used in Sphinx Knowledge Base Tool VERSION 3 to build a consistent set of lexical and language mod- eling files for Sphinx decoders. For testing the system- The app was used by just two relatives children in real time because of the lack of time. The results using PER- thankfully- were very satisfactory. Since the average of all phone error rates percentage was only 18.07%. | Group #UQU-CS-2023S-28 |
CCOMP-CSAI-2022F-01
Abstract:The project aims to facilitate the reading and memorization of the Holy Quran via the internet for all Muslims around the world. Where the project is to help in finding an opportunity for those who cannot learn the Holy Quran outside of their homes. Especially nowadays- the educational field- in times of the Coronavirus pandemic (Covid-19)- has become somewhat more difficult and challenging. Our website will display a set of sessions for women and others for men that can be joined through the Zoom platform- as well as a follow-up record for the reader that includes the sessions he joined- and assessments and notes are recorded by every shaikh After the end of each session. In addition- there is a library that includes many educational materials of the Holy Quran. We will develop the UQ Maqraah website using the Laravel framework. Our UQ Maqraah website will contribute to the educational field. It can assist and help readers to learn the Holy Quran. | Group #UQU-CS-2021S-1 |
CCOMP-CSAI-2022F-02
Abstract:Undoubtedly- recycling is important for reducing environmental pollution- saving resources- reducing incineration and saving energy. Recycling has become a necessity because many factors have led to an increase in environmental pollution- including an increase in human waste due to an increase in resource consumption- a lack of appropriate recycling methods and a lack of awareness. Our application of recycling enhances awareness among people by providing ways to dispose of waste that can be recycled and ideas to benefit from it. providing image classification technology using machine learning that display the classification of the material in the image according to the materials that are recycled. calculating the amount of waste consumption of the person and its effects on the environment and motivating people to recycle by display their impact on the environment. We hope in the future that recycling companies will adopt the provision of financial incentives or discounts through our application for users and provide representatives to receive materials collected by users that can be recycled from all regions in Saudi Arabia- or provide containers in the neighborhoods of regions in Saudi Arabia to collect materials that can be recycled. | Group #UQU-CS-2021-G03 |
CCOMP-CSAI-2022F-03
Abstract:Many Arab dyscalculia children suffer from the hardship of learning mathematics. Therefore- this document presents an Augmented Reality (AR) game called Zaeid that aims to promote learning math for children with dyscalculia using Arabic content. The user interacts with a character to solve the questions throughout the game to gain points and move to the next level using a cartoon atmosphere that will evoke the focus of the dyscalculia child in a very joyful environment. This document discusses information gathering- analysis- and design of the game. In addressing the topic- this document uses previous research and the knowledge from experts to give the best outcome in handling the complexity of dyscalculia and presents a suitable game. ultimately- without a pre-emptive conclusion- this paper believes that dyscalculia children are just in need of a better method of learning. Thus- we came up with Zaeid that will shed light on the future of dyscalculia children. | Group #UQU-CS-2021S-04 |
CCOMP-CSAI-2022F-04
Abstract:Nowadays- the bus subscription process is done manually- and this drains a lot of time and effort from subscribers during the registration As well as the movement of the bus route randomly- in addition to the presence of some daily difficulties such as communicating with the driver- waiting- and knowing the location of the bus . Therefore- the Masar application combines these services- such as organizing electronic registration- tracking bus movement- and selecting companies that suit the applicant in terms of cost | Group #UQU-CS-2021S-06 |
CCOMP-CSAI-2022F-05
Abstract:While the digital world is in rapid development- we noticed the depth of the gap between modern technologies and the non-technical community- and so as technical students we see that it is our duty to provide ways to see the impact of these technologies in our modern world. In this project- we developed a platform dedicated to enriching the digital content and helping people with disabilities who cannot use their voices and people with concerns about using their own voices- by implementing the newest technologies in machine learning to clone human voices and produce human-like speech that can be used to create digital content such as videos and podcasts- and it can also be used to read books or to create voice-overs for animated films- and many more. | Group #UQU-CS-2021S-07 |
CCOMP-CSAI-2022F-06
Abstract:A community refers to a group or a cluster that is densely connected within a complex network. Identification of these communities is known as community detection. Community detection is defined as a clustering method that separates many elements based on similar qualities. Cluster- ing researchers in communities is an important task to support a range of techniques for analyzing and making sense of the research environment and helps researchers find people in the same field of interest to collaborate. In computer science- ontology is commonly used to capture knowledge about a particular area using relevant concepts and relations. Domain ontology is used to describe concepts and relationships in a specific field of expertise. This study introduces a community detection framework that is employed on a multilayered Arabic scholarly network to expand the network using a cross-domain ontology and to detect communities based on co-authorship and keyword relations. DBpedia is an existing cross-domain ontology that will be used to improve community detection. The evaluation was per- formed on three levels. First- the framework was applied on synthetic network to determine the efficiency of the proposed community detection algorithms. Then- the framework was used to detect communities within a real-data network based on Umm-Al-Qura University (UQU) faculty members from three colleges with rich Arabic publications. Finally- UQU network was expanded by adding semantically related keywords and com- munities were detected. The results proved that weight does not play a significant role in the current network structure. Moreover- for each algorithm- especially when overlapping between communities is allowed- the clusters are significantly discordant. It was found that semantically expanded network does have better clustering potentials but only if was used selectively. Otherwise- adding generic keywords harmed the network and degraded almost all the algorithms performance. To the extent of our knowledge- this is the first work that proposed detecting communities within the Arabic scholarly network with and without the assistance of cross-domain ontology. | Group #UQU-CS-2021S-09 |
CCOMP-CSAI-2022F-07
Abstract:Enhancing the experience of Hajj and Umrah pilgrims is the third key objective of "Doyof Al Rahman Program"- which is one of the realization programs of Vision 2030. Due to the importance of Hajj and Umrah season- many applications and research have been proposed towards enhancing the quality of the provided services and reducing the difficulties that pilgrims face- such as crowding- loss and the unavailability of health services. However- investigating the literature shows that many of these applications lack of comprehensive in terms of provided services that a pilgrim needs in one place. Consequently- the pilgrims may have to download more than one program on their devices- which may cause distraction or forgetting how to use them. Thus- we decided to develop MAAD- a mobile advisory application for digitizing Hajj and Umrah experience- using software engineering and AI concepts. | Group #UQU-CS-2021S-10 |
CCOMP-CSAI-2022F-08
Abstract:Holy Qur'an recitation is imperative to worship and actions of reward for Muslims worldwide. It is also the duty of every Muslim to read the Qur'an correctly in classical Arabic. However- many people fall into mistakes when reading the Holy Qur'an- and those mistakes are forbidden. Mistakes can be missing or replacement words- verses- or misreading Harkat or Tajweed. This project proposed a solution to recitation and learning Holy Qur'an quickly via using a machine learning approach and natural language processing. In this project- the sound of the reciter had recorded- and it was converted onto Arabic text to recognize the character of text using Google API. The dataset was collected utilizing Google forms and Qur anic audio websites and then labeled manually. A set of machine learning algorithms have been tried and tested. The result showed that Random Forest achieved the highest accuracy with 100%- and the testing results of the Qur'an using the Tahbeer system are very encouraging | Group #UQU-CS-2021F-11 |
CCOMP-CSAI-2022F-09
Abstract:Makkah Al-Mukarramah is the capital of Islamic world. It receives special attention from the Saudi government s rulers to transform it into a smart city for the benefit of millions of pilgrims. One of the 2030 vision objectives is to transform specific cities into smart cities with advanced technological facilitation- and Makkah is one of these cities. The history of Makkah is not known to some Muslims. As a result- we based the concepts of our application Ain Makkah to enable visitors of Makkah to know the history of Makkah by using technology. In particular Ain Makkah uses Augmented Reality to view the history of Al-Kaaba. A 3D model will overlay the Al-Kaaba to show it before years. Our project will use Augmented Reality to build a 3D model to overlay Al-Kaaba. Future work will expand the number of historical landmarks of Makkah. | Group #UQU-CS-2021F-12 |
CCOMP-CSAI-2022F-10
Abstract:The rapid rise of networking has made data interchange through the internet simple- but it has also increased the possibility of data tampering- unlawful copying- and other security risks. This necessitates the provision of data security. Data transmission over the internet is secured via cryptography- digital watermarking- and steganography. Digital watermarking and several recent techniques based on Least Significant Bit (LSB) watermarking are explored in this study to secure data from variou s attacks | Group #UQU-CS-2022S-13 |
CCOMP-CSAI-2022F-11
Abstract:Middle Eastern's people are one of the largest populations on Twitter. In recent years- more Arabic writers- especially the youth ones have used Twitter to publish their literature work to a wider audience. Such a platform has provided them with a service to share their writings- but it lacks the ability to preserve their creative literature works for the long run. Hence- we propose a system named Saving Literary Digital Text (SLDT) where Arabic tweets will be scrapped- pre-processed- and classified into hate or non-hate tweets based on Random Forest (RF) algorithm with over-sampled balanced data- and displayed on a website named ميراث الأدباء which means Writers Legacy in English language. Our system preserves and enables readers to easily access Arabic literature tweets. We believe that our project will be significant and will add more value to native and non-native Arabic speakers as well as to the authors of these tweets. Our results have shown that the RF algorithm produces 95.45% in accuracy- 98.63% in precision- 92.17% in recall- and 95.29% in F1-score. | Group #UQU-CS-2021F-15 |
CCOMP-CSAI-2022F-12
Abstract:Umm Al-Qura University students suffer from long wait times and asynchronous schedule for buses and it is still being done manually. This is a problem in itself. So we decided to build a website to help solve these problems. The website will give students the ability to book- manage- update- and cancel buses via the website. It will also provide administrators with rescheduling bus times- adding buses and administering the blacklist. Therefore- having a digital- easy to use and advanced bus management system is a mandatory step towards providing better transportation service for students. This will improve student performance- as well as increase the use of university resources. | Group #UQU-CS-2021S-17 |
CCOMP-CSAI-2022F-13
Abstract:At Hold my Hand application that helps children with autism to express their feelings- learn how to communicate with others- and learn emotional faces. The target group is children with autism. This application is intended for the age group of children (7-12). The application will be available in Arabic on iPad since there is no such application in iOS that supports the Arabic language. The activities that will be in the application are the emotional faces section and emotional scenarios section. | Group #UQU-CS-2022S-05 |
CCOMP-CSAI-2022F-14
Abstract:This project demonstrates a smart application that helps to solve the congestion problem at the entrance gates with the help of the Internet of things IOT to reduce congestion among people and the spread of COVID-19. This application may help us organizing the entry process of the campus by developing it in the form of a Smart card supported by NFC technology through which users' information can be sent to the reader to share it with the server- and allow the server to perform its tasks- including sending the status of the request either by acceptance or rejection. The application can be developed using all operating systems and using java language to program the reader. | Group #UQU-CS-2021F-02 |
CCOMP-CSAI-2022F-15
Abstract:The experience of Hajj and Umrah is the experience of a lifetime for each pilgrim. Saudi government deals with pilgrim officially through Ministry of Hajj and Umrah (MHU). However- all services are provided to pilgrim through private companies called Internal and Aboard Pilgrims' Institutions (IAPI). It is observed that Hajj and Umrah systems include multiple digital components which deal with massive data. Since the current situation shows that IAPI's and MHU work separately in dealing with providing different services (housing- transportation- nutrition- promotion)- here it is no doubt that efficient and better utilization and usage of these data is required to improve the decision-making process and contribute to enriching the experience of pilgrims. In this research- we will develop an and processing data related to the fields of Hajj and Umrah. We aim to help decision-makers to choose the appropriate services for the pilgrim based on the given data- as the artificial intelligence takes the data in the system and analyzes it to infer the interests of the pilgrim and build the decision accordingly. We will evaluate our framework by improving housing and food services based on previous dataset. | Group #UQU-CS2022F-19 |
CCOMP-CSAI-2022F-16
Abstract:This study displays a method that assists students in quickly searching for lost belongings- saving time and effort and reducing their reliance on security personnel. Direct messaging will be the primary technology employed in this system. Our application s direct messages will contain information about missing items between the advertiser and the owner of the lost item- as well as other services provided by the app- such as allowing immediate receipt of lost items- adding new missing items- or searching for the missing item to find out all the details about it. Our system will support Android- and in the future- we will develop it to support IOS. We will use the Java programming language to establish a database and enter data into it using SQL. | Group #UQU-CS-2021F-18 |
CCOMP-CSAI-2022F-17
Abstract:The rising demand and competition for computing professionals has seen a corresponding expansion in undergraduate computer science programs- soo we offer the Eshrag website to meet the needs of both freelancers and stakeholders as much as possible. | Group #UQU-CS-2021F-14 |
CCOMP-CSAI-2022M-01
Abstract:Many grooms are looking for a place to hold their wedding or engagement party- or as some call it the night of life- so they are looking for a hall or hotel to hold their ceremony. The wedding hall project is simply a project that provides a suitable place for parties and weddings- as well as provides all the necessary needs for a party or joy. The activity of this project is not limited to engagement or wedding parties only- but extends to all the happy occasions that the owners would like to celebrate outside the house. | Group #CCOMP-CSAI-2022M-01 |
CCOMP-CSAI-2022M-02
Abstract:The FRAP platform aims to facilitate the process of financing users in the latest ways in cooperation with approved financing bodies in Saudi Arabia by calculating the degree of risk of each individual customer and providing appropriate financing to customers based on the degree of risk of each customer. | Group #UQU-CS-2021S-02-M |
CCOMP-CSAI-2022M-03
Abstract:Motivating children to complete chores and homework without rewarding them can make them hate doing tasks. If a kid lacks motivation- they may stop doing what is expected of them- resulting in conflicts between the child and their parents. With our app- we want to maintain that motivation by rewarding the child with completion points for each task they complete. The child would then be able to redeem these points for a gift determined by the parents. We hope that by doing so- children will enjoy their tasks rather than treating them as a obligation. | Group #UQU-CS-2021S-04-M |
CCOMP-CSAI-2022M-04
Abstract:Nowadays- people are playing games on their mobile phones- whether at home- work- or any place since it is easy to carry their phones. The time spent on playing is huge- so our society has negative stereotypes about games -usually games are just for entertainment players- but this is not only what can games do- it can be more useful and entertaining when adding the educational part in the game. Therefore- society need games benefit gamers in any way while having fun and motivate them to improve their mental abilities and intelligence through challenges and problems that they will face while playing. Considering the balance of enjoy and improving it also give them an enjoyable experience in terms of game s story- visuals- and audio effects- and not making them have regretful feelings while spending time playing games. | Group #UQU-CS-2021S-06-M |
CCOMP-CSAI-2022M-05
Abstract:We want to make a game that gives a player a good feeling when he defeat a strong and challenging enemy and we want the player to learn from his mistakes and he need to perform some mechanics to defeat the boss to make the boss fight more interesting not like the other games. | Group #UQU-CS-2021S-07-M |
CCOMP-CSAI-2022M-06
Abstract:Most of us have tasks that we surly need to accomplish- and we have goals to reach- both need planning in the short-term (daily) and long-term (the next five-year goals). Usually we have difficulties in managing and following through on tasks for two reasons: 1- Not knowing the straight fast ways. 2- The execution of these methods is hard and contains many details that are difficult to write daily. Therefore- there is a need for an effective and at the same time an easy application for daily follow-up. There are apps to manage daily tasks- but they don't tie you to your big goals and they lack the scientific methods and offers weak user experience. That what motivated us to work on this project. | Group #uqu-cs-2021s-09-m |
CCOMP-CSAI-2022M-07
Abstract:Umm al Qura University is one of the largest universities in the kingdom of Saudi Arabia having the largest number of students. The university is located in a suburb area of the Mecca city-about 10 km away from the residential areas- and because of its geographic location- most of the people are either students- professors- staff- workers- or even visitors enter into the university compound on daily basis for different purposes; like studying- teaching- working or perhaps just for a tour- and they all get into the university using vehicles. So- because of the wide area of the university and embedding tens of faculty buildings- scientific and technical research centers- and many other facilities within the university s compound- a huge number of students and visitors cannot reach their desired locations at an appropriate time- and the problem gets double in the first few days of the university startup and that s because of freshmen students enrollment. In fact- these people aren t aware of the exact routes that directly lead them to the nearest parking lot to park their vehicles and then face towards their desired locations. Therefore- they either keep asking others for location help- or they spend much of their time searching for places. So- to solve this problem- I suggest building an online interactive map to help people find their destinations easily. The map acts as an outdoor kind of navigation system that shows the routes for buildings based on the user s search input or selection- then relatively the system will show the exact vehicle routes to the predefined appropriate parking lot- with a pedestrian path stretching to the destination and statistical information about the building on the right side of the map as an output. Therefore- the map will not only help people to not navigate wonderingly- but it will help the university authorities to hold a good balance on the distribution of people into the predefined suitable parking lots- and that will certainly prevent traffic congestion. | Group #UQU-CS-2021S-10-M |
CCOMP-CSAI-2022M-08
Abstract:With the fast growth of the e-commerce stores in the Kingdom of Saudi Arabia- the need for good analysis for these stores have become an important matter for the development of stores and for improving decision-making. Therefore- we intended to aid in creating a platform for analyzing the e-commerce stores data that involves an individual to upload the data file- then a meaningful and deep data insight will be driven. This analysis and insights are not just a normal analysis that uses only a statistical method for analyzing the data; some of the insights are driven by applying the data mining applications which are Market segmentation and market basket analysis. • Market segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. • Market Basket Analysis is a technique that identifies the strength of association between pairs of products purchased together and identifies patterns of co-occurrence. A co- occurrence is when two or more things take place together. Data mining has opened a world of possibilities for business. This field of computational statistics compares millions of isolated pieces of data and is used by companies to detect and predict consumer behavior. Its objective is to generate new market opportunities. | Group #UQU-CS-2021S-18-M |
CCOMP-CSAI-2022M-09
Abstract:This project idea was instantiated by the developers to solve the problem of weakness in English understanding and communicating among university students of various departments in Saudi Arabia. The developers believe that most students are becoming more responsible- more attracted towards learning when they become university students. This application is developed mainly for students at this level- it might also be used by other users. The developers managed to add more than one method of learning and get the information- one is the course section which consists of lessons- exercises- and quizzes. It will be divided into chapters each chapter will contain at least four lessons. That s where the student would start the learning journey. After viewing the lessons and study them user can solve some exercises to practice the skills he learned and revise the vocabulary he took during the lesson- then we have the quiz witch will let the student evaluate himself in that entire chapter Another method is by adding a library to the system with some recommended books that will help the user improve his English language skills- the user will be able to search a book and download it locally to his device and read it whenever he wants The developers also added an IELTS section which will be helpful for those who are looking forward taking the test- we will provide nearly the same experience as if the user is really taking the test. On the admin side- the admin can do everything related to managing the course- like adding a new chapter or a lesson- or quiz or edit and delete them. We really hope that the application achieves its objectives and get more people to get benefit from using it. | Group #UQU-CS-2021S-13-M |
CCOMP-CSAI-2022M-10
Abstract:Digital transformation is getting a lot of attention in Saudi Arabia. Therefore- various Saudi institutions and universities compete to contribute to this transformation by supporting the efforts of scientific researchers and students to keep pace with the modern era using technology. Therefore- we decided to be an active element in society and to solve a societal problem that patients suffer from it in short- most patients suffer- especially those with diseases if they go to different hospitals due to the lack of their medical reports if the doctor requested them- so we decided to make a Health App. The project aims to expand and contribute to achieving the vision of the Kingdom of Saudi Arabia 2030. | Group #UQU-CS-2021S-20-M |
CCOMP-CSAI-2022M-11
Abstract:Books- handbooks- and exercise papers are essential to the university student- but if the student finishes the course- He won't need it anymore and maybe throwing it in the trash- burning it or forgetting it next to the discarded items Until it becomes obsolete and has no value after publishing newer versions and do not forget that some students cannot buy some of the most expensive books. The proposed project will solve the problems mentioned above by developing the App for Abandoned Books- our project is to develop a free mobile app for universities for Abandoned books. The App lets the user choose his university and display what he no longer needs from his university books- study papers- or handbooks. The student can sell or rent books or give them for free to those who ask for them. In addition- the student can view requests for books or search for what he needs from the offers of other students. We will use Android Studio for supporting Application development within the Android operating system. And database at the backend to store the information. Firebase database system will be used for this purpose- as it is freely available and widely used in academics and industry. | Group #UQU-CS-2021S-04-M |
CCOMP-CSAI-2022M-12
Abstract:At present- sports academics need a special program of their own to facilitate the process of communication between parents and the academy. Daily videos- follow up on his son's progress and know the joint offers Our goal is to create a program that is clear to use and has beautiful and simple interfaces that make it easier for all ages to use the program. | Group #UQU-CS-20121S-05-M |
CCOMP-CSAI-2019M-01
Abstract:Some of the students in our University (Umm Al-Qura University) have problems in academic scope or social, health, and psychological problems in them life. Which negatively affected their academic field and levels, So It was necessary to develop a platform in which the role of academic adviser is activated. We aim in this project to activate the role of the academic advisor and collect the necessary data and information then analyze it and manage this data so that’s can be used to know the defects and build an electronic academic advising system intelligent uses artificial intelligence in data processing and analysis. | Group #UQU-CS-2019S-13-M |
CCOMP-CSAI-2019M-02
Abstract:We will analyze and rank the data on social media to see the Positives and Negatives through comments | Group #UQU-CS-2019S-12-M |
CCOMP-CSAI-2019M-03
Abstract:There are a lot of children who use their phones for long periods and may use malicious applications and sites because; it does not have control. And there are some parents who wants to control and monitor their children's devices but finding that it is so difficult to use control applications because; its available in English language. Therefore, the main objective in the project to develop an application for parental control in an easy and simple way with support for the Arabic language. Subsequently, parents can view applications used by children and can block applications, and can set intervals for use of applications and monitor child's location. | Group #UQU-CS-2019S-04-M |
CCOMP-CSAI-2019M-04
Abstract:In Saudi Arabia, people who have car accidents are required to follow some procedures in order to claim a compensation from the car insurance company if car accident occurred. Unfortunately, these procedures are not well known or clear for most people, which results in wasting their time, and effort. This motivates us to propose a system that would facilitate and accelerate the process of making a claim for a compensation. This was the motivative to develop this system. | Group #UQU-CS-2019S-02-M |
CCOMP-CSAI-2019M-05
Abstract:Attention to security awareness has taken a huge place in the Internet recently. Many systems, applications and games are developed around the world for many different purposes. To accommodate the risks of this technology, since the lack of specialized websites in our country; we have chosen this platform to make knowledge disseminated and in an effort to make all Saudi citizens aware of security. The main purpose of this website is to expand the knowledge of security awareness for all citizens in a fun, exciting, beautiful and easy to understand. | Group #UQU-CS-2019S-10-M |
