1. Asem Adel Alhosawe
2. Abdullah Bakr Saigh
3. Nibras mansour flimban
4. Muhanad Jameel Fallath

Intelligent Therapeutic -Medicine -Hardware Arduino -Designing

Conclusion of the project Important for the elderly and People who use treatments and They have difficulty remembering When to take treatment, it is Useful for non-users Follow up on their patients electronically.

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1. Nawras Abdulbasit Madkhali
2. Basayl Suliman Ali
3. Umaimah Arif Bakhtar
4. Fadia Abdo Alshaarani

IoT, smart dispenser, cloud-based, smartphone application, sensors

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.

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1. Areej Adel Bawazir
2. Arob Fahad AlQurashi
3. Areej Saleh AlMisfer
4. Khulood Khalid Abdulmajeed

biodiversity, Invasive species, smart detection system, Artificial Intelligent, Computer Vision, ecological balance.

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.

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1. Shmokh Fawaz Alreshi
2. Ghadeer Abdurrhman Melibari
3. Jwan faisal Al-Ameer
4. Hams Khalid Alharthi

color-blinds, computer vision, KNN classifier, machine learning, object detectionI?m

[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]

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1. Noura Alnefaie
2. Raneem Alghamdi
3. Lama Alsadi
4. Maryam Hunais

Psychological, Stress level, Rorschach test, Machine learning, Classification

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, Na?ve 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 Na?ve Bayes algorithm reached 45.94%, and 46.02% for Logistic Regression.

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1. Amal Hamed AlObaidi
2. Yara Awwad AlQurashi
3. Shoug Mohammed AlZhrani
4. Wsaif Abdullah AlSuwayh

Autistic child, Virtual reality, Autistic children, Autism

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.

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1. Noura Abed Al-Hasani
2. Raneem Obaid Al-Zahrani
3. Reef Abdullah Al-Nojaidi
4. Hanan Rudayd Al-Fadhli

Potholes, computer vision, object detection algorithms, deep learning.

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.

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1. Wessal Hashim Alharbi
2. Fatima Fawaz Alotaibi
3. Raghad Bandar Rashwan
4. Asrar Ahmed Almajnuni

Hospital, Emergency Codes, Beacons

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.

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1. Fatimah Arif Hejazi
2. Maha Abdulrahman Alharthi
3. Rabya Mohammed Emrani
4. Amjad Khaled Ajeeb

Medicinal, Plant, Saudi Arabia

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.

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1. Eman Alzahrani
2. Shmael Alharbi
3. Rana Alahmadi
4. Mohra Alghamdi

Stuttering, Modification techniques, Speech fluency, Machine learning

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.

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1. Kholud andrgiri
2. Arwa Ruwayjih Alafifi
3. Meead Abdullah Alaqeel
4. Sara Mohammed Alshehri

facial recognition, authentication, university security, computer vision, identity verification.

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.

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1. Hadeel Alhajajji
2. Rana Alhazmi
3. Atheer Allogamani
4. Raghad Alomari

Autistic Children, Real-Time Image Classification, Game

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.

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1. Maryam Saif
2. Reem Nabil
3. Nada At Talhi
4. Yara Abdullah

Artificial intelligence, Machine learning, Deep learning, Com- puter vision, Generative model, Diffusion model, Art

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.

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1. Hessa Saeed Alotaibi
2. Wasn Hussain Alamri
3. Rahaf Fawaz Agil
4. Norah Mohammed Alsulami
5. Shmokh Bander Mtluq Almsudi

Cabinet, medicine, Reminders, Audio

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.

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1. Elaff
2. Renad
3. Roaa
4. Aseel

1mediator 2-a private tutor 3-education

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.

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1. Raniya AL-harbi
2. Sara AL-hothefy
3. Ohud Bukhari
4. Nosaibah Farhan
5. Rahaf Murad

Emergency call, automatically response, Arabic Natural language Processing application, Machine learning application

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%).

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1. Rola Al-Madani
2. Samar Qadi
3. Najlaa Al-Nabati
4. Huda Golam

Islamic, fatwa, Muslims, machine learning, ML, natural language processing, NLP, chatbot, text categorization.

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.

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1. Emtinan Mohammad Maji
2. Shahad Mohammad Aldaajani
3. Enas Ashraf Kutbi
4. Amjad Bandar Alzahrani

Dyslexia, Reading Disorder, Diagnosis, Deep learning, children

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.

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1. Jumana Mandeely
2. Nora Alqethami
3. Hala Alshokri
4. Afrah Bawahab

Deep learning, Computer vision, Distribution, CNN Algorithm, YOLOv5, YOLOv8, Teachable Machine, Image Classification, Object detection, PyTorch, Application, Android, Hajj, Arafat

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 | ????", 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.

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1. Reem Abdu Alotmi
2. Talla Ahmed Bunjabi
3. Alaa Hasan Saeed
4. Safaa Hasan Saeed

Visual pollution, YOLO, Deep learning, Object detection.

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. Keywords: Visual pollution, YOLO, Deep learning, Object detection.

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1. Wsaif Abdulrahman Alahmadi
2. Lama Mohammed Alharbi
3. Bayan Ati Alfahmi
4. Sarah abdullah almsoudi

Machine learning , yolov5 , yolov8 , artificial intelligence , skin issues, detection,

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. In response to the prevalence of these skin issues, we propose the development of an AI-powered application, "Adim - ?? ????" which leverages machine learning and deep learning techniques to effectively detect and analyze these skin issues from user-generated facial images. The application aims to provide users with comprehensive results and personalized advice to help address these specific skin concerns. Adim - ?????? strives to enhance the quality of life for individuals dealing with common skin issues in the Middle East by providing a convenient and effective solution for their skincare needs.

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1. Hanaa Ibrahim Al-Zarani
2. Shoug Muhammad Al-Sulaimi
3. Razan Odah Al-Dadi
4. Rana Abd lRahman Al-Amri

Augmented Reality , Tourism , Archaeological sites , Map.

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.

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1. Shaymaa Almalki
2. Shahad Malibari
3. Shamael Albogami
4. Lama Asiri

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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.

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1. Manar Ahmed Alabdali
2. Mafaz Mohammed Basalamah
3. Leena Nabeel Tayeb
4. Lenah Saeed Babkair

Arabic, Pronunciation Improvement

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) (???). 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.

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1. Tasneem Al Omari
2. Hilala Al-Bajali
3. Atheer Alharthy
4. Rajawi Al-Qathami

Muslim Assistant, Halal, Allergic

Terhal is an application that helps a Muslim in his travel to non-Muslim countries in finding restaurants and products that provide food and halal products, avoiding products that cause them allergies, and also finding mosques.

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1. Shumokh maher almimani
2. Lama althagfi
3. Maria alaseery
4. Arwa rari

pilgrims,communication ,Translate voice

the integration of technology and spirituality has led to the development of a groundbreaking application. This academic and scientific summary introduces an innovative solution that seeks to enrich the pilgrimage experience in a multifaceted manner. At its core, this application serves as an educational tool, offering instructional video clips to guide pilgrims through the intricate rituals associated with Hajj and Umrah. These clips are designed to impart a deep understanding of the religious practices, ensuring that pilgrims are well-prepared to fulfill their sacred duties. Beyond education, the application serves as a digital tour guide, providing comprehensive information about the most significant landmarks in Mecca and Medina. These landmarks are not only described in detail but also pinpointed on a map, enhancing the pilgrim's knowledge and connection to these holy sites. A unique feature allows pilgrims to create groups, enabling them to visit these landmarks together, promoting community and shared spiritual experiences. Navigation within the holy cities is simplified through a map displaying the major entrances and exits of the Grand Mosque in Mecca. To foster interaction among pilgrims of diverse linguistic backgrounds and nationalities, the application incorporates instant real time translation, supporting ten languages. This ensures that pilgrims can communicate and connect with ease. Security and convenience are paramount, with the application employing advanced cornea scanning and image processing technology to identify pilgrims, minimizing the risk of loss and providing quick access to personal information. Additionally, the application encourages community engagement by enabling pilgrims to share their thoughts, opinions, and questions within the application's community platform, fostering a sense of unity and mutual support. For added safety, the application provides access to emergency contact numbers, ensuring that pilgrims have access to essential resources during their sacred journey. this pilgrimage application exemplifies the synergy of technology and spirituality, offering a comprehensive and scientifically informed solution that empowers pilgrims to undertake their sacred journey with confidence, knowledge, and security, while fostering a sense of community and shared spiritual experience.

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1. Bayan Abdulla Khayat
2. Salwa Sameer Ashgar
3. Shaima Fayez Al-Hashemi
4. Ebtsam Deif Allah Al-Zahrani

Elm

An educational platform that serves Umm Al-Qura University students

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1. Raghad Ali Alharthi
2. Wedad Hashim Hassan
3. Raghad ali alharbi
4. Ghala Saleh Alsuwayhiri
5. Yara Abed Alharthy
6. Shroug Fehan Alotibi

patient , doctor , medical

In the medical field, patients may face several challenges related to finding their health information and keeping it updated. This medical information is vital to keep them informed about their medical history and to allow their doctors to control prescriptions when needed. In this project, we developed a medical application that links a person's ID number and acts as a medical file. This file contains all of their health information and is easily accessible and up-todate. Furthermore, our application allows patients to set a new medical appointment without the need to redo examinations and sends notifications about their treatment plan. This application also helps doctors by providing the advantage of changing the treatment plan for patients without them needing to attend appointments. In this project, we used the Waterfall methodology to develop this application, including several stages: analysis, design, and implementation. This application may have significant implications for improving health records for patients and facilitating communication between patients and their doctors.

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1. Ruba kudir almahmoudi
2. Rahaf saud alradadi
3. Dima abdulrahman alzahrani
4. Shouq faisal alsubhi
5. Mona saud alharbi

e-learning platforms, students, online learning

This website aims to improve the learning experience of university students by facilitating communication between them and excellent university students who serve as tutors. The website offers a platform where both students and tutors can create accounts and interact with each other. Students can book tutoring sessions with a tutor of their choice by selecting the relevant course and providing a video sample to explain their needs. This service aims to enhance the student's understanding of course material and help them achieve academic success.

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1. Aljohara Abdulrahman Al-Khulifi
2. Wejdan Ahmed Balubaid
3. Batool Shaker Al-ghoraibi
4. Aisha Ibraheaim Al-Shaikh

chatbot, Personal shopers, AI, Customers, Stores, Fashion, Products, Chatting, NLP

The "Rowaa" application was designed to address challenges faced by individuals in selecting suitable clothing and coordinating outfits due to an increasing number of options available on the market. Consumers also face difficulties due to the absence of guidance services and the lack of qualified individuals who can provide personal fashion suggestions. Obtaining services from trusted personal shoppers who can provide products from multiple stores is another challenge. And because we are in the era of speed, Customers need to quickly access their products and discover multiple stores in one place. The "Rowaa" application was developed, which provides a chatbot service to coordinate fashion and offer fashion-related suggestions. It also includes a platform for trusted personal shoppers and for displaying products from various stores. This platform serves as a marketing tool for both stores and shoppers and contributes to increasing their profits. The development process followed the Waterfall methodology, which consists of five phases: analysis and requirements, design, implementation, testing, and maintenance. Additionally, The project focused on serving female customers. Overall, the "Rowaa" application offers a seamless and efficient fashion coordination and shopping experience for consumers.

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1. Hamsa Hawsawi
2. Samari jamal
3. Dania mirza
4. Faeza gandorah

seed,saudi coffe,deats

A seed and Bon, a unique experience for our Arab culture The website specializes in selling Saudi dates, coffee, and coffee products that are delivered on a custom basis from farms available in the Kingdom of Saudi Arabia. It also features the ability to book tourists for these farms and try dates of all kinds.

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1. Tumader Al-Gethami
2. Fidaa Bakhsh
3. Heba Al-Amoudi
4. Asayel Al-Jaid

beekeeper, hive, apiary, application, data visualization, nectar plant

Beekeeping is a challenging profession in many aspects, starting from finding a suitable place to place the bees and extending to monitoring hive activity. Our application makes beekeeping a fun experience for the beekeeping team. The application has been designed to provide users with comprehensive features on these topics. By utilizing advanced technology, the application will assist beekeepers to increase productivity, finding a suitable place for apiaries, As well encourages the care of national resources, and facilitates teamwork to make hive monitoring more flexible and fun. Our project used an agile methodology, which involved iterative development. We implemented the program using Flutter, and the data binding in the website was via Firebase. The project methodology began with research to identify the key challenges faced by beekeepers. We consulted with beekeeping experts, conducted extensive research, and published a questionnaire. We then created a prototype to design the application initially and used diagrams to clarify the idea. The program was implemented as planned in this report using the following tools: Visual Studio code and Android Studio and we used other tools such as GitHub, Google Map, Figma and Canva. The program was tested and confirmed to meet the requirements stated in the report.

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1. Riyam Abdullah Hassan Alharthi
2. Nawal Abdulrahman Yaqoub Qashqari
3. Mai Taha Abdullah Alaidarous
4. Lujain Abdulrahim abubakor?sait

building process, communication , contractor, supplier, reduce fraud, workflow efficiency , virtual selection , materials, customer

Due to communication barriers and fraudulent activities, the construction and building process can be complex and inefficient. In order to address these issues, our new application has been designed to streamline the process by facilitating communication between the client, contractor, and supplier. The application aims to reduce fraud and enhance workflow efficiency. Clients can use the application to select designs and materials virtually, with ease, and the application assists them in calculating the project's price. The application aims to create a more transparent and collaborative construction and building process by offering these features. Ultimately, the application has the potential to revolutionize the industry by improving project outcomes and increasing customer satisfaction.

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1. Nouf Talal Alhothali
2. Amwaj Shaker Alhothali
3. Nada Ali Alhelali
4. Yosra Seraj Almalki

Recipe,Market, ingredients

Food supermarkets face intense competition from other vendors. To increase the income of the organization, we came up with the ?Recipes Market? application, which increases sales and helps users receive their needs and generate profits as well. ?Recipe Market? is a mobile application that helps you cook food at home easily. The application consists of several different recipes to suit all tastes, with a basket containing all the ingredients of the complete recipe, ready for delivery directly to the customer?s home. Therefore, the profit model is to sell and deliver food recipes through the supermarket while helping users enjoy good taste and a convenient cooking experience.

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1. Shahad Alghamdi
2. Amal Kawther Ali
3. Ghidaa Khdary
4. Maryam Abdullateef

Restaurant, Food, Booking

The idea is centered around an app called ReadyTable, which allows customers to reserve table at any restaurant at a time that is most convenient for them. and to develop a table reservation system that will help restaurant managers troubleshoot frequent problems with the existing manualreservation system. Because of this, the app was designed to help restaurant managers automate their daily operations and give customers the option to reserve a table in the suggested reservation system, depending on their convenience.

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1. Samah Alsolehby
2. Ryoof Altowariqi
3. Gharam Alhakami
4. Meaad Alqrani
5. Roaa Alkhulayfi
6. Raghad Alsubie

Super Assistant-people with special needs-volunteers

Supper Assist is a mobile application designed to help female students/staff with special needs at Umm Al-Qura University. The application provides a university map to assist in navigation, in addition to features that allow students to request assistance from volunteers. Provides communications services, including video and voice calls, and Ghali Center services for persons with disabilities. Supper Assist aims to provide a comfortable learning environment for students with special needs, ensuring that their needs are met while on campus. The application requires minimal effort from the user and is easy to use, allowing students to navigate the campus and access assistance quickly and easily. Overall, Supper Assist is a comprehensive and accessible mobile application that aims to improve the quality of life and learning experience for female students with special needs at Umm Al-Qura University.

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1. Arwa Mohamed alwadinani
2. Najwa Enad alsharif
3. Elham Abdalhameed haji
4. Wsayef fahad alhothali

Consult a doctor medication, remind, pharmacy

It is an application that helps patients to remind them of the date of the medication and calculates the number of treatment doses. The patient can follow up his health condition after answering the questions after the end of the day?s doses. Either he is stable or needs to go to the examination. A doctor can be consulted through the application through a conversation , and the doctor can give it to him. It is prescribed online and shows the patient the nearest pharmacy in which the medicine is available, and the patient determines the method of receiving the medicine.

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1. Dana saeed Alqarni
2. Lama zahid Jad
3. Dhai Ali Alqahtani
4. Norah saleh Alzhrani

Laundry, delivery, rate

This app makes doing laundry and ironing a breeze. It's super easy to use and helps you find the best places to get your clothes cleaned and delivered at the lowest prices. Just tell it how you like your laundry done, and it'll let you know when it's ready or when to pick it up. Plus, it shows you the nearest laundry and ironing stores. In a nutshell, this app saves you time and makes laundry a lot more convenient.

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1. Ghadi Suliman Samkari
2. Reem Mohammed Aldajani
3. Rawan Saeed Alghamdi
4. Amal Mohammed Alzhrani
5. Hanan Falah Alharbi
6. Tala Mustafa Eid

point, task, work

There has always been a problem in companies and sectors in general, where employees working outside of their job duties are not documented in a particular system. Instead, this work is recorded via email or on paper, resulting in employees' rights and efforts not being preserved. The "WTHEQ" system will document tasks that go beyond the job description. Overtime will be calculated as points for employees, which will be converted into volunteer hours on the volunteer work platform. Ourproject aims to help achieve Vision 2030, as the Kingdom of Saudi Arabia aspires to increase the number of volunteers to one million.

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1. Abdulrahman Mohammed Alharbi
2. Majid Nasser Alsubhi
3. Yazan Hani Alquzi
4. Meshal Fares Alharbi

mobile application, GPS

Many Muslims visit Makkah and Medina Cities for Hajj, Umrah, or tourism. They want to explore these sacred Islamic landmarks and perform Hajj and Umrah correctly. <> guides the pilgrim and provides him with the required knowledge to perform his Mansak rightly. Rihlaty application also helps tourists and visitors discover important historical monuments and places, such as the Gar of Hira in Makkah, and the battles of the Prophet Muhammad in Medina. The application provides historical stories based on the geolocation of the visited areas using GPS and Google Maps.

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1. Faisal Abdullah Alziyadi
2. Abdulaziz Majed Alzahrani
3. Basil Talal Alqarihi
4. Anas Saeed Al Mousaed
5. Aseel Rashed Alzahrani
6. Abdullrahman Esmat Qary

SSMS - SQL Server Management Studio 1, API Application Programming Interface 2, UI user interface 3

In Saudi Arabia, hiking enthusiasts face a significant challenge due to the absence of a dedicated app for trail information, trip planning, and fostering community engagement. The current resources available, such as websites and Instagram accounts, are fragmented and fail to provide adequate support. This lack of centralized resources impedes efficient planning, access to trail information, and the establishment of a thriving hiking community. Our project aims to address these challenges by developing a user-friendly hiking app that provides essential features, including trail information, maps, navigation tools, real-time weather, and supportive community platform.

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1. Hamzah
2. Abdulmajed
3. Mahdi
4. Mazin alhazmi
5. Ali alzahrani

PICK UP

A sports application that supports types of sports and sports clubs, their features, trainers and locations for each sports club, healthy eating and exercise.

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1. Ahmed Atheeb
2. Abdulmohsen Al-Zahrani
3. Mohannad Al-Maliki
4. Samer Al-Mutairi

Talent

Since talented people need to share and spread their talents with their communities, there is a need to provide a quick and easy sharing service available anytime and anywhere. Talent App helps talented people to develop, share, and refine their talents. It offers a convivial space that brings talented and interested people together to exchange information and experiences. Furthermore, the talent app facilitates communication and connects gifted people with those interested in the talent. They can then sell, share, and find opportunities to develop and enhance their talents.

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1. Shaima Waleed Suliman
2. Maysaa Nasser Alqarni
3. Bashayer Saud Althobaiti
4. Banan Saleh Brnawi

Hackathon, Challenge, Computing

Programmers have difficulty finding computing challenges and enquiring about them. The main objective of this project is to facilitate and structure access to computing challenges so that the computing challenges organizers can advertise these challenges. This will make it easier for the community of programmers wishing to register to know the latest computing challenges based on the desired characteristics such as computing area, the date and location of the event.

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1. Turki Hamdi Alluqmani
2. Albaraa Meshal Alqurashi
3. Abdulelah mohammed baguayfir
4. Ayman Saoud Gabbani
5. Faisal ghazi aljohani
6. Saeed Osama Sunbul

Event , organizing

Sometimes we need to organize events, which include a large number of people, and not everyone is good at organizing events because it is a tedious task, and its difficulty may be increased by lack of organization and prior thinking. We strive to avoid these things, starting with preparing for the event months in advance and ending with maintaining balance on the day of the event. We will initiate the creation of a phone application for universities in arranging or organizing their events and seasonal events by defining the event that needs to be organized. The application will show the people or participants who will participate in organizing the event. It will also have additional features that we will mention that will facilitate the organization of the event.

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1. Sumiah Baroom
2. Raghad Alshareef
3. Rona Alsharabi
4. Wejdan Al-Hudhali

Early diagnosis, Detection, Rapid intervention, Illinois Test

There are a few similar applications available, but they are general questions and not specific to children, so our application provides an (ITPA) Illinois Test of Psycholingustic Abilities test in Arabic, which is distinguished by showing the success rate for each part. He can visit the hospital, visit the diagnostic center, and book an appointment to attend remotely.

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1. Ahmad Fouad Daghistani
2. Abdullah Saud Alhazzani
3. Jawad Hesham Felemban
4. Hazim Ali Aljabri

Internet of things, App development,?Privacy

this thesis embarks on a journey to develop an iOS mobile application that serves as a practical tool for users to assess and manage the data impact of their IoT-connected devices. It acknowledges the transformative potential of IoT while championing the cause of privacy and data security in an increasingly interconnected world.

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1. Mansour Talal Saddiq
2. Mohammed Husni Alfattani
3. Mohammed Waheeb Alansary
4. Omran Khalid Fallatah

Friendly, Easy, Amateurs

Our project tends to develop a friendly board for logic gates. Similar to Ni Elvis but very friendly and modern to make this board understandable by amateurs or kids. It will be like a game for them not complicated as the Ni Elvis. We are going to make the new board as a Lego game. So, amateurs and kid can use it without any difficulties.

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1. Azzam abdurhman albdah
2. Hassan abdulrhman alhrbi
3. Khalid sami hareedi
4. Basel ali alahmadi

AI , pothole , object detection

The objective of this project is to detect potholes by using an AI model. The system will be based on Raspberry Pi 4 Model B 8GB. Then the information that the system collects will be uploaded to a database and will be represented via a visual map. The stakeholders (for example ? HOLY MAKKAH MUNICIPALITY) can use this information to decrease the amount of time taken to repair potholes.

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1. Saeed Muhammed Nooh
2. Ghassan Nabeil Haddad
3. Abdulrahman Mansour Alsobahi
4. Fayad Adnan Maghrabi

RFID, GPS, GSM, Schools

My colleague and I propose a solution to address the issue of children being left unattended on school buses, which, although uncommon, unfortunately occurs with some frequency. Our suggestion involves the implementation of a GPS-enabled rescue bracelet that would establish a connection between the child and their parents. Additionally, we propose the installation of an RFID sensor on the bus doors to track the entry and exit of children, and the inclusion of an emergency button to provide immediate assistance?when?needed.

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1. Revan Mohammed Al-Qahmi
2. Razan Sami Al-Refaey
3. Shatha Ali Al-Matrafi
4. Munira Khaled Al-Duraibi

customer experience, Arabic natural language processing, sentiment analysis, aspect based sentiment analysis, online reviews, review analytics, e-commerce, and business owners

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 cate- gory, the SVM algorithm excelled yielding a slightly higher accuracy of 86.39%

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1. Khloud Abdullah Al awlaqi
2. Raoom Mousa Khan
3. Ghadi Adel Al loqmani
4. Renad Naser Takroni

Alzheimer's Patients, Speech Recognition, Interactive Interface, Memory Loss, Difficulty with Language Dementia, Progressive Brain Disorder

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/? ?? ," the application will open for the patient after facial recognition. Responding "No/? "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

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1. AFNAN ABDULQUDDUS ABDULRAHMAN FARUQE
2. Rua MohammadAmin WanAhmad Fattani
3. Simaia Ahmad Yehea badraden
4. Amjaad Saleh Mohammed Nasser

Qiraat, Recitation Recognition, Machine Learning.

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.

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1. Marwa Moath Harfoush
2. Afrah?Sulaih?Almalki
3. Maryam Salem Baskran
4. Jana Jaffar Melebari

Measurements, 3D, AI, Body Shape, Design, Tailors, Dresses

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 (??????) 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 (??????) 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.

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1. Manar Raja Aldadi
2. Dalia Ali Alghamdi
3. Areej Hamed Almajnouni
4. Leen Omar Alsiyami

Heart Disease Prediction, Healthy Lifestyle, Machine Learning

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.

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1. Fatima Nabil Bakr
2. Awatif Abdullah Bashihab
3. Asmaa Khalid Alshumrani
4. Shahad Khalid Almatrafi

Tourism, Saudi Arabia, Mobile app, Travel plan, Disjunctive rule mining algorithm, Travelling Sallesman algorithm

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.

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1. Razan Alharbi
2. Shouq Alharbi
3. Shaza saati
4. Mawadah Alzahrani

exercise, physiotherapy, help, computer vision, machine learning.

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.

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1. Ghala Adnan Alharbi
2. Maarib Abdullah Alsulimani
3. Randa Mansour Alminami
4. Nujud Abdulrazaq Althagafi

Pilgrim 1 , Face Recognition 2 , Nafee 3 , Artificial Intelligence 4 , Hospital 5, Visa 6 .

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.

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1. Joud Mansour Bin Afif
2. Sadeem Khalid Alharbi
3. Aman Khalid Nouman
4. Nour Mohammed Fadel

Machine learning, Matching Algorithm, Jaccard index, Human?Interpreter

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.

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1. Shahad Baalqasim Alhassani
2. Walaa Osama Alslimani
3. Nuran Naji Alharbi
4. Shahad Saeed Baharthi

medical radiation, consultants, diagnosing, x-ray images, machine learning algorithms, ChatGPT, specialist.

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.

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1. Nada Muhana Alsuwyhri
2. Shahad Ghassan Dablool
3. Nada Ibrahim Almatrafi
4. Minnat allah Mohammed Banjar
5. Sarah Sameer Natto
6. Shumukh Masoud alnadwi

Customer, Designer, Furniture stores, Room design, Interior design

Customers often struggle to design their room and find notarized designers when changing furniture. This platform has been designed to provide customers with an easy and effective way to design their rooms within their budget. By connecting customers with designers and furniture stores, the platform helps customers find the best possible design options that suit their requirements. At the same time, it provides designers and furniture stores with an opportunity to showcase their skills and products to potential customers. The platform aims to make the process of designing and furnishing a room a smooth and hassle-free process for everyone involved. The report explains the purpose of the BONYAN platform, the problems that were identified and solved, and describes the way the system works from the user's perspective. It also clarifies the interfaces and tools used in the development of the platform.

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