Umm Al-Qura University

Umm Al-Qura University

Graduation Projects - Details


- 2020/06/11

Graduation Projects

Graduation Projects -Bachelor's degree- (2019-2020)

Computer Science Department (CS)

Be your eyes

Project ID: UQU-CS-2019F-01
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Computer Vision and Graphics - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Aeshah Abdulkarim Alsiyami

Project authors:

  1. Sara Mohamad Al-amri
  2. Jamilah Obaid Al-zahrani
  3. Khadijah Abdullrahman Bahshwan
  4. Shoug Mohamad Al-wethnani
  5. Tahani Sulaiman Al-luhaibi

Project keywords:

yolo, matlab, object detection, object tracking, blinds

Project abstract:

be your eyes project is an application design for blind people to analyze video using deep learning algorithm and extract a textual information to describe videos to them

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Detecting of People Abandon Objects in a Controlled Area using Computer Vision

Project ID: UQU-CS-2019F-02
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Research Based Project
Project categories: - Computer Vision and Graphics - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Sara Ahmad Al-shareef

Project authors:

  1. Suaad Aiman Nabulsi
  2. Amal Owedah Alshomrani
  3. Etizaz Fahaid Alqurashi
  4. Arwa Mohammed Alqurashi
  5. Jalilah Ahmad Fallatah

Project keywords:

CARRIED OBJECT, HUMAN DETECTION, ABANDON OBJECT, TRACKING, COMPUTER VISION, STAR SKELETON

Project abstract:

The recognition of human activities in the controlled area is an important issue for surveillance systems to keep pedestrians safe from tripping, crowding and overcrowding. Automating the surveillance systems need many procedures, which makes this process not easy, as it requires separating people from the background and determining their body parts and properties and then tracking all their different activities on the surveillance video. The main purpose of this study is to help in automating the surveillance systems by presenting a full framework to detect abandonment event in different scenarios using computer vision. To achieve this goal, this system is composed of three main stages: human detection, carried object detection and tracking with abandonment event detection. For human detection, it detects human by using a mixture of Gaussian, and aggregate channel features (ACF) detector. Moreover, it uses star skeleton with centroid and time-series graph to detect the carried objects. As for tracking, this study adapts the BuM-NLV technique with nonlinear voting. The framework was tested on a dataset that was recorded by the researchers, known as ABdetect. And it showed a precision of 86% in human detection and 25% in carried object detection. As for tracking it showed an accuracy of 85% and a 95% for abandonment event detection. This shows that this framework for detecting abandoned objects is resilient even when some of the component has lower than optimal performance.

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Machine Learning for Authentication Using Brain Waves

Project ID: UQU-CS-2019F-03
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Research Based Project
Project categories: - Information Security - Brain computer interface
Other categories: N/A

Project language: English

Project supervisor:
Sara Ahmad Al-shareef

Project authors:

  1. Lojain Muhammad Al-qurashi
  2. Shatha Hisham Alseni
  3. Nouf Abdullah Alabydy
  4. Rana Ahmad Alahmadi
  5. Raja Sameer Abd-almotalib

Project keywords:

electroencephalogram (EEG), authentication, machine learning

Project abstract:

Security risks and hacks have increased over the years. With authentication being an important part of security, electroencephalography or the measurement of brain signals has emerged as a new biometric form of authentication. In previous studies, it has been shown that EEG differs from person to person. EEG-based user authentication systems have the advantages of both password-based and biometric-based authentication systems but without their downsides. Many studies have been done in this field, however, a comparison between different classification methods for authentication of brain waves has not yet been proposed. This study aimed to find the classifier with the most accurate results. The classifiers used are artificial neural network, support vector machines, k-nearest neighbor, hidden Markov model, and the Gaussian mixture models. Moreover, this study will provide a clean set of EEG data of both imagined speech and images for public research. After comparing the performance of these algorithms using raw EEG data, the results show that the algorithms with the best performance are KNN and ANN with accuracy of 98.23% and 69.34% respectively. Followed by GMM with 56.81% accuracy and SVM with 54.50% accuracy. Lastly HMM with accuracy of 50.49%. The overall results show that raw EEG data is not discriminative enough to be used for authentication systems.

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Exploring the Similarity of Sibling’s Voices Using Automatic Speaker Recognition

Project ID: UQU-CS-2019F-04
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Research Based Project
Project categories: - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Sara Ahmad Al-shareef

Project authors:

  1. Mshael Hasan Alzhrani
  2. Rahaf Marzoog Althobati
  3. Wala'a Saeed Alzahrani
  4. Rawan Hasan Alzhrani
  5. Amal Abdullah Alzahrani

Project keywords:

Automatic speaker recognition, similarity, speaker models.

Project abstract:

Everyone has a unique voice, because of the different structure of their articulatory organs. Some people have similar voices due to biological similarity or someone is mimicking them. This similarity raises a security concern. Several studies tried to distinguish between similar voices of people using speaker recognition techniques. Speaker recognition not only models an individual’s voice but also their speaking habits. This study surveys the use of automatic speaker recognition techniques in order to explore the similarity between siblings. This includes comparing the performance of several models, such as artificial neural networks (ANNs), Gaussian mixture model (GMM) and i-vector. In addition, a dataset of sibling speech is recorded and processed to be available for public research.

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Indoor Positioning Android Application For UQU-Female Campus

Project ID: UQU-CS-2019F-05
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories:
Other categories: multidisciplinary(maps:information system , human computer interaction:computer science , beacon:computer engineering)

Project language: English

Project supervisor:
Reem Saleh Alashaikh

Project authors:

  1. Maryam Ahmad Alsawadi
  2. Israa Mohammad Samoud
  3. Amani Oudah Alzhrani
  4. Mohja Wahed Makki
  5. Roaa Mohamad Alhomsi

Project keywords:

IPS, indoor, beacon

Project abstract:

Most students and employees of the university, especially the new ones, find it difficult to reach places that are not frequently visited. They often ask others to guide them to a place and may not find the correct answer or follow written instructions that might be old, not updated or unclear. This project allows the users to reach their destination within the university building in the shortest way through an interactive map containing most of the locations and names of libraries, departments, labs, stairs, lifts, deanships and classrooms .. etc , as much as possible in the project implementation area and instructions to reach the destination (very similar to GPS but its IPS (indoor positioning system)). These locations will be detected using specific algorithms that handle Bluetooth signals from Beacons which are Bluetooth radio transmitter installed in specific locations within the University building and use Wi fi signals to locate the user

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Plan-B

Project ID: UQU-CS-2019F-06
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: English

Project supervisor:
Reem Saleh Alashaikh

Project authors:

  1. Amani Mohamad Ali bahsa
  2. Abeer Abdullah Alqurashi
  3. Raghad Mohamad Ali basha
  4. Reem Abeed Alsulami
  5. Afnan Ahmad Alalawi

Project keywords:

self-learning , self-regulated learners, goal orientation , self-evaluation , self-regulation

Project abstract:

An Android Application for Supporting Self-Regulated Learners

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Maher Application-An Application For Supporting Autism Children In Learning Self-Care Skills

Project ID: UQU-CS-2019F-07
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Computer Vision and Graphics
Other categories: N/A

Project language: Arabic

Project supervisor:
Reem Saleh Alashaikh

Project authors:

  1. Hanan Abdulrahman Alsaedi
  2. Ahlam Abdul shokor Habibullah
  3. Fatema alzahraa Omar Altawil
  4. Razan Mohammed Faqih
  5. Asma Mohammed Barahmah

Project keywords:

Augmented reality, Autism, Autism Spectrum Disorders

Project abstract:

There is a lack of applications in Arabic that serve specific groups such as children with autism. Autism includes impairments in social interaction and developmental language and communication skills combined with rigid and repetitive behaviors. The studies indicate that the children are positively influenced by applications by showing better verbal interaction and the physical activity are increased at activities when using applications. This project aims to facilitate some of the difficulties faced by children with ASD by using technology. But what are the most important difficulties that need technology support and which technology is most effective with children with ASD? Through our searches, visits and interviews with ASD centers we came to that most children with ASD face challenges in most self-care skills, such as teeth brushing, eating, bathing, and others. Also, one of the suggestions from the therapists is to use AR technology and how it facilitates children's learning as they are attracted to the notable things like 3D objects and interact with them in a positive way. The results of this project will be Maher application which support children with ASD in learning number of self-care skills and prepare them to realize these skills and their tools faster and in loveable approach through the use of AR technology in Arabic language.

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Follow up

Project ID: UQU-CS-2019F-08
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: application

Project language: Arabic

Project supervisor:
Ahd Mohammad Aljarf

Project authors:

  1. Khadijah Adel Al-bar
  2. Tahani Mohammed Al-barakati
  3. Meaad Mohammed Al-nemari
  4. Omnyah Abdulrazaq Al-hazmi
  5. Tahani Abdallah Al-zahami

Project keywords:

Parental Engagement , Primary schools, Communication between the parents and the school, Cross-Platform.

Project abstract:

Because education is one of the pillars of building societies by the extent of its care and development, society makes a strong building for itself to improve the teaching and learning process. Education has invested this progress in a parallel manner in its means, where these technologies have emerged within the classroom and between the corridors of the school. Given the importance of the educational field, the current application which named " Follow Up System " is designed especially for the primary schools. In addition the "Follow Up" facilitate the communication between parents and the school to help their children in improving their academic and behavioral level. The application aims to avoid complexity in existing applications, characterized the easy learning by using . parents also book an appointment with the child's teacher and send complaints and suggestions to the school . The application interfaces are developed using cross-platform, and supporting Arabic , to serve a lot of the platforms like ( IOS, Android, windows ), which make the application accessible for targeted users : students , parents , teachers . Key

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Snap,Share, Consult

Project ID: UQU-CS-2019F-09
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: Arabic

Project supervisor:
Mohanad Sobih Alqadah

Project authors:

  1. Waad Kamel Munshi
  2. Rahaf Mahmoud Halabi
  3. Hdab Atteih Aljuaid
  4. Nourah Hmod Alotaibi
  5. Ohood Ali Almontashri

Project keywords:

choose good products, track last offers, product reviews, social app

Project abstract:

ABSTRACT Buying or the shopping online is a bit difficult for some people because they can't know the quality and physical properties of the products that they want to buy (such as their texture, actual size, and color), Or they hesitate to buy from companies or stores unknown to them. Our application will solve this problem by sharing people with their experiences about products In all transparency. This can by searching about the product in the app to see what other people post and their reviews about it. Also, the members in the app can also be capturing a photo of products and posting them for sharing and consulting

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كن معهم (be with them )

Project ID: UQU-CS-2019F-10
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence - Human computer interaction
Other categories: Mobile application

Project language: English

Project supervisor:
Musleh Hudaud Alsulami

Project authors:

  1. Muneera Mohammed Mahmood
  2. Anwar Ali Albariqi
  3. Amjaad Abdullah Hameed
  4. Omnia Osama Besharah
  5. Rawan Ahmad Alshareef

Project keywords:

Safe, lives, kids, school, bus

Project abstract:

We aim to build Application able to send notifications about student state, either inside or outside bus/school to avoid child suffocation in bus ,to make parents less worry about their children safety.

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Dental College Medical Records Management System

Project ID: UQU-CS-2019F-11
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: English

Project supervisor:
Elham Mahjoob Hassanain

Project authors:

  1. Rahaf Saadi Almatrafi
  2. Anoud Yahya Alghamdi
  3. Sara Bander Aldahas
  4. Aseel Majed Alqoud
  5. Maha Majed Alotibi

Project keywords:

.keyword1 Dental management system. keyword2 UQU teaching hospital. keyword3 EMR. keyword4 Patient

Project abstract:

Dental students face a problem, which is the lack of enough cases to cover and train in, according to the educational plan for dental students. There are 26 hours Lab per term in which students cover specific cases, but there is a problem which is the lack of cases due to the lack of volunteer patients. In this document, we provide a web-based application called Dental Management System which aims to save the time of all Umm Al Qura University teaching hospital members and to provide a way to manage and control Electronic Medical Patient Record . There are services provided to solve the problem of communication between students and volunteer patients, we used a scheduling process to coordinate the patient’s condition and the student’s level based on a student’s available time The provided services includes follow-up of patients' files, Schedule their appointments, dealing students' work on different cases, allow them to enter their available time into the system for scheduling patients' appointments according to that, enable doctors to evaluate the student work, as well enable the patient to cancel any one of his appointments, possibility of communication between doctors and receptionist . The system will be developed by PHP, HTML, CSS, JAVA SCRIPT, language and create a database with SQL for information entry and store & retrieve.

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SOS UQU

Project ID: UQU-CS-2019F-12
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: English

Project supervisor:
Elham Mahjoob Hassanain

Project authors:

  1. Sakhaa Fauzan Alhakami
  2. Reem Abdulrahim Alghuraybi
  3. Alyaa Jamal Momenah
  4. Sara Adil Alhalife
  5. Manal Attya Salem

Project keywords:

SOS, Emergency, Barometer Sensor, Application, University

Project abstract:

The project demonstrates an application to provide the least possible response time in emergency reporting of patients by linking the patients with the clinic on campus. The SOS application on the android phone sends an SOS alert triggered by the patient himself if conscious or by a passerby. It will contain the indoor location measured by barometer sensor and medical information that both will be retrieve from the database to the clinic to get the patient’s location and medical information to provide appropriate treatment.

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Dyslexic Learning Techniques Game

Project ID: UQU-CS-2019F-13
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Computer Vision and Graphics
Other categories: computer gaming, computational learning

Project language: English

Project supervisor:
Elham Mahjoob Hassanain

Project authors:

  1. Renad Hani Mandurah
  2. Hanouf Abdulrahman Aloufi
  3. Rawan Khalid Alhazmi
  4. Salwa Ali Alqarni
  5. Nada Setr Almajnoni

Project keywords:

dyslexia, game, game-based learning, learning methodologies.

Project abstract:

Most children nowadays, spend large portion of their time on mobile devices. Although, children use different applications on the mobile a majority of time is spent on playing games. Games are used in entertainment and brain stimulation, there are also very supportive in education and can be used in supporting the learning disabilities. Dyslexia is one of the most common learning disabilities that causes a problem in reading and writing affecting nearly 15% of the people globally. Dyslexia comes with very high-level thinking capabilities and leadership qualities and hence, many scientists and famous people such as Einstein, Galileo and Graham Bell. Studies shows that dyslexics have a different way of learning and the capabilities increase. Many games on the market teach dyslexic children reading and writing or for entertainment such as chess for dyslexics. However, there is no game which teaches and allows them to acknowledge the most suitable learning methodologies which unlock dyslexia power. The methodologies are developed in the form of supporting tools/Learning aids appearing in the game with characteristics based on the skill needed for every stage. At the end for every stage the result will be calculated based on time and accuracy and displayed with the most appropriate supporting tool using to succeed at the different levels. The novelty of our idea is to create a game which helps dyslexic children to learn how to learn and use the best learning support tools to unlock their learning potential.

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Diabetes Alarm

Project ID: UQU-CS-2019F-14
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering - Internet of Things - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Elham Mahjoob Hassanain

Project authors:

  1. Shrooq Akram Jan
  2. Nouf Saud Alhazzani
  3. Rahaf Abdullah Shesha
  4. Anhar Hamzah Malibari
  5. Sarah Abdulhadi Fatani

Project keywords:

diabetic children,bracelet,hearing and speech impaired,hypoglycemia

Project abstract:

The application depends on the technology used to automatically measure blood glucose on diabetics and consists of an application and an external device that includes a camera, and there is a bracelet that helps caregivers who suffer from hearing and speech impairment by vibrating notification, and also analyzes the measurements of glucose and sends it to the email.

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Be Safe

Project ID: UQU-CS-2019F-15
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence
Other categories: Application

Project language: English

Project supervisor:
Areej Sulaiman Alfraih

Project authors:

  1. Basmah Mohammed Al-hattani
  2. Arwa Meshal Al-huthali
  3. Shahad Kamel Qary
  4. Elaf Fahad Al-harbi
  5. Hawwaa Yousef Abu bakr

Project keywords:

GPS, traffic violation, traffic accident, weather dependent speed limits

Project abstract:

Traffic deaths and serious injuries have been on rising in Saudi Arabia and many countries for the last few years, car crashes remain the number one cause of death for adolescents and the most common critical error driver make that lead to serious crashes is driving too fast. Moreover, there is a very strong relationship have been established between speed and accident along with driving in bad weather conditions. The objective of this project is to help decrease the ratio of speed violations by warning the drivers if they speed over the limit because as we mentioned before the high car speed is one of the main reasons that lead to serious injuries and death, another reason is the lack of awareness in newly licensed teen drivers about the risks. “Be safe’ application seeks to solve a local issue serving the country based on the KSA Vision 2030, by enabling healthy lives and improving the quality of life in Saudi cities by enhancing irrigated safety to improve the driver skills and solve the problems that he/she face while driving, the functionalities the application will have are (warn the driver if he/she exceeds the speed limit, the driver will be able to view the speed of the car, car location, and the legal road speed. Additionally, the driver can receive notifications and view the history of all the notification he/she received also save the location of the Saher and view it on the map. Finally, the application will recommend to the driver a safe speed depends on the weather conditions.

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STUDENT ASSISTANT INTEGRATED WITH AN INTELLIGENT AUTOMATED CHAT-BOT

Project ID: UQU-CS-2019F-16
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence - Information and Database management - Social Networks
Other categories: N/A

Project language: English

Project supervisor:
Atif Mansour Alhejali

Project authors:

  1. Asrar Radi Alsulmi
  2. Wejdan Abdullah Alheabi
  3. Jommana Mohammad Alhazmi
  4. Yasmin Mohammed sa'eed Alharbi
  5. Amal Saad Alhothali

Project keywords:

AI chatbot, IBM Watson ,Student Assistant, the University community

Project abstract:

Nowadays, communication between students is vital to facilitate the possibility to benefit from each other and to spread the benefit among all students, in this system, we will use an agile approach to the development of our program because our project focuses on changing requirements to adapt to changing circumstances systematically. The idea of our project comes from our need as university students to application provides us with the services that students need to save time and effort ,the project consists of an application that allows many services for students, including explaining the course, lost and found service so they find their things easily, the service of borrowing books, requesting help for people with special needs, communicate with each other and Intelligent autoresponder to respond to inquiries through IBM Watson in which Unorganized data is handled, manipulates texts by reading the text and interpreted as a human being and division sentence based on grammar rules according to the relationships that link sentence words to each other and their structure and then reach the closest meaning based on the written material in this project, we will use the Android Studio platform to develop the application and implementation by Java programming language, and finally, With this application , we hope to facilitate communication between the students, meet their needs as students in university community

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Arabic Picture Exchange Communication System Tablet Apps for Autism Spectrum Disorder Children

Project ID: UQU-CS-2019F-17
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: English

Project supervisor:
Ashwag Omar Maghraby

Project authors:

  1. Fatima Abdullrhman Al kaff
  2. Rasha Abdullah  al kaabi
  3. Raghad Mohammed Abu-manour
  4. Ghaida’a Hussain Al hulifi
  5. Brooj Abdullsalam Al harthi

Project keywords:

autism - functional communication - picture exchange communication system - alternative communication for Autism children - autism social communication treatments.

Project abstract:

Children with autism spectrum disorder (ASD) often have difficulty communicating with their families as well as with the people around them. One way for children with ASD to communicate without relying on speech is to use the Picture Exchange Communication System (PECS) method. In this study, we will develop an Arabic Tablet Java App for children with ASD to improve their socio-adaptive behaviors and social responses using PECS. We will use pictures and audio as tools to improve children’s communication skills, such as asking and answering questions and having conversations, to make it easier for them to have social interactions.

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Little farmer

Project ID: UQU-CS-2019F-18
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Internet of Things
Other categories: hardware , embedded system.

Project language: English

Project supervisor:
Atif Mansour Alhejali

Project authors:

  1. Moroj Zakrrya Zamil
  2. Yara Abdulaziz Sembilan
  3. Zahrah Zain al-abedeen Khried
  4. Duaa Abdullah Al-lehyani
  5. Afraa Saleh Al-lehyani

Project keywords:

Arduino , thingspeak

Project abstract:

In this research project, we focus on the obstacles that encounter farmers in Saudi Arabia. Due to the desert-based environment of Saudi Arabia, high summer temperatures and limited irrigation resources are a key factor that shapes the face of this sector. We have designed a robot prototype that will collect the information from the farmland and reflect them on Thingspeakplatform. The collected data will be air temperature, air humidity, and soil humidity. Those parameters will be measured and logged by an Arduino microcontroller mounted on the robot. The collected data will be analyzed to be used on the long and short term. In the short term, this collected data will help to irrigate the areas that need to be irrigated, this will increase irrigation efficiency and help saving water.Also, the temperature will help in rectifying our outputs, because irrigation amounts relay on the corps type and which season of the year is it.For the long term, those data will help us create a precise estimation for the annual costs and required amounts

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Obour smart gate system

Project ID: UQU-CS-2019F-19
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Samya Mohamed Sowissi

Project authors:

  1. Sarah Mohammed Alazman
  2. Rawan Menuer Alqurashi
  3. Lujain Husain Alharbi
  4. Lujain Abdulmajeed Alghamdi
  5. Raffal Abdullah Shafiei
  6. Wiam Khalid Alharbi

Project keywords:

traffic queuing problems, scan permits/IDs, closed-circuit television camera, Automated Passenger Counting

Project abstract:

Mecca hosts every year millions of pilgrims from all over the world. These people need to pass Makkah’s checkpoint gate, and this results in a very long queue in front of the Makkah gate. The system provides an automated system that includes a smart gate, for fast inspection at Makkah checkpoint gates. Our system will solve the traffic queuing problems when matching of fingerprint, identification and permits. This system will be quicker and more accurate by using an application on smart devices. The application uses the technique of fingerprints for the identification of persons entering Makkah. Both pilgrims with their pilgrim guide and non-pilgrims’ passengers can access our application to send their entry information when near to the radius of the inspection checkpoints. Finally, we expect to develop an automated smart gate system for mecca entry that provides many features, and our system will filter automatically non-Muslims, and does not allow them to enter Makkah.

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( Programmer Assistant Bot ( PSBot

Project ID: UQU-CS-2019F-20
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Samya Mohamed Sowissi

Project authors:

  1. Maryam Alsalik Fal
  2. Kholoud Khalid Owais
  3. Amjad Hulayyil Alotaibi
  4. Waad Mohammed Alotaibi
  5. Reem Moteb Alrogi

Project keywords:

chatbot, programming, pseudocode, PSBot , coding

Project abstract:

The idea of our project is to build a chatbot to help beginners to learn programming through answering their inquiries. So The user can ask chat bot queries then chat bot can answer with pseudocode with brief description. In addition the user can chat with programmers to get more information

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Personal health care system

Project ID: UQU-CS-2019F-21
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Information and Database management
Other categories: N/A

Project language: English

Project supervisor:
Muhammad Arif Syed

Project authors:

  1. Ghalia Omar Aljizani
  2. Amal Dayfalla Al-harthi
  3. Maysam Molham Moglan
  4. Nawal Mohammed Baharb
  5. Ameerah Seraage Eide

Project keywords:

Android,IOS, mySQl

Project abstract:

PHC It is a user-run app for health information. It includes some improved services for smart health applications through the availability of appointment slot and payment of fees, the possibility of viewing all the drugs purchased and prescribed to the patient, and obtaining information from doctors such as diagnosis that allows patients to understand more about their illness and health condition and prescriptions which in turn improve patient satisfaction as well as obtain laboratory results and other services. The application aims to efficiently provide some health services to monitor the patient's health and attention and provide information about his health without the trouble of going to the hospital and waiting and reducing costs and effort

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Depth application

Project ID: UQU-CS-2019F-22
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering - Artificial Intelligence - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Muhammad Arif Syed

Project authors:

  1. Asrar Fahd Alzhrani
  2. Walaa Hamed Alsubhi
  3. Limah Nasser Alkhulifi
  4. Fatima Ahmed Assiri

Project keywords:

Twitter, depression, sentiment analysis, naive bays algorithm

Project abstract:

Depression is one of the most popular mental illnesses between people. Nowadays, the proportion of the people with this disease increased according to psychologists, it exposes many people to danger and it leads them to suicide. Moreover, sleep, eating, mood, communication, the way of thinking about them self all of it have an effect on a depressed person. We reach the depth of the human through words that affect depressed people to alleviate or treat them. We aim to predict the depression of Twitter users through their Tweets by offering the report of statistics of the user's depression and help reduce it in our application. We provide to all users with a report of statistics of the depression, viewing some yoga exercises, proper tips. For depressed users, we make a direct counseling with a doctor, and show daily depressed tweets. We will gather dataset from tweets by TWINT tool then analyze dataset by preprocessing it from dictionary, so it gives sentiment analysis then classifier by naive bays algorithm. Therefore, it will detect whether a user has depression or not. Finally, we hope to help most of the depressed people perfectly and discover that they have depression from the beginning step before reaching the highest level of diagnosis.

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Wajehni: Indoor Positioning Application

Project ID: UQU-CS-2019F-23
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: Arabic

Project supervisor:
Ahd Mohammad Aljarf

Project authors:

  1. Ola Ahmed Fuad
  2. Emtinan Abdullah Al-matrafi
  3. Kamlah Rashed Haji
  4. Amjad Abdulkareem Alharthi
  5. Afnan Hussain Qedear

Project keywords:

Augmented reality, indoor positioning, beacon, navigation.

Project abstract:

Navigation systems have been widely used in an outdoor environment, but indoor navigation systems are still in early development stages. Outdoor navigation systems are generally based on a global positioning system (GPS) that uses satellite signals but has difficulty indoors, due to the reduction of signal strength from the hard building. The unavailability of GPS makes it difficult to navigate inside buildings. However, with the use of Bluetooth low-energy (BLE) beacons technique it can be used indoors to determine the user devices and their current location. Nowadays, many technologies have emerged to keep pace with technological advances, including Augmented Reality (AR). Due to rare utilizing of AR tools, this project proposed an application in Arabic language to facilitate the process of navigating places inside Umm Al-Qura University (UQU) Al-Zaher branch, guiding people in an indoor environment using AR, which can assist them to solve the problem of losing time and effort in reaching their destination. It’s easier to navigate indoors when they can see their surroundings when moving rather than using a dot on a grid as the usual mapping system. AR supplements the real world with virtual information through computer displays in an interactive manner. With this technology, the user's sensory perceptions of the real world are enhanced, which allows the user to understand the surroundings more thoroughly and therefore perform tasks in hand more efficiently.

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KAU lib

Project ID: UQU-CS-2019F-24
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories:
Other categories: mobile application

Project language: English

Project supervisor:
Manal Hamed Alharbi

Project authors:

  1. Sultana Awaad Almalki
  2. Nada Ibrahim Alhamdi
  3. Shatha Mohammed Alayyafi
  4. Ghadah Saeed Almuawwadh
  5. Hanouf Samir Alhawsawi

Project keywords:

big data, mobile application, barcode, Android.

Project abstract:

Due the lack of existence of mobile application for King Abdullah library services, we seize the opportunity to offer a friendly interface smartphone application namely KAUlib application. The proposed application gives students, faculty, staff, and community partners a quick access to the services and information resources provided by the King Abdullah library without need to come in person for most routine services. These services include searching for a specific book, borrowing book request, renewing borrowing books through the app (by scanning the barcode on the book), viewing the status of the book (available - not available - seconded), browsing scientific research and providing notification systems for return and renewal policies (book renewal). Since we have been provided with the database from the Deanship of Libraries at Umm Al-Qura University, we will not engage in data extraction and purification algorithms but will focus here on searching algorithms on big data.

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Salik - Road Damage Management System

Project ID: UQU-CS-2019F-25
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering - Computer Vision and Graphics - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Ahmad Hasan Alhindi

Project authors:

  1. Hanan Hamed Alharbi
  2. Arwa Arshad Mohammed
  3. Dina Salem Balgasem
  4. Thekra Faisal Abuhaimed
  5. Salma Mursal Sheikh

Project keywords:

classification, road distresses, image processing, detection

Project abstract:

Road distresses such as cracking, potholes, surface defects and deformations are all common problems in every city. To achieve the goals of Vision 2030 in developing our cities, and for the importance of the city of Makkah as an Islamic capital, we introduce our project Salik. Salik system aims to improve an effective damage management of the roads in Makkah by providing mobile applications for the citizens and community participants to report road distresses, and web dashboards to manage the reports. Salik uses a two-stages deep learning classification model to facilitate the process of classifying the distresses of the road, and has a centralized database containing data and information about the reported damages. In addition, Salik has an electronic portal that allows researchers and entrepreneurs to obtain accurate and up-to-date data to contribute to continuous improvement.

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Self-Rehab

Project ID: UQU-CS-2019F-26
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Computer Vision and Graphics - Artificial Intelligence - Augmented reality
Other categories: Machine Learning

Project language: English

Project supervisor:
Atif Mansour Alhejali

Project authors:

  1. Maimoona Mohammad Habibullah
  2. Bushra Bashir Ahmed
  3. Rahma Ahmed Aboubacar
  4. Dhuha Ahmed Alsulami
  5. Sarah Osama Mutahar

Project keywords:

Augmented reality, Physical Therapy, Rehabilitation, Therapeutic exercise

Project abstract:

Physiotherapy is an area that serves many people with injuries requiring rehabilitation and helps the patients to have a normal life. However, it experiences a lack of technical support as therapeutic exercises requires the direct supervision of a therapist. Among many technical areas, AR can overlay the real world in a digital world, helping the patients by providing the possibility of performing rehabilitation exercises by themselves offline the direct supervision of a therapist. The project aims to help patients outside the clinic, as most patients have difficulty understanding the prescribed exercises correctly on their own. Also, the worst is when injuries may occur due to incorrect performance of exercises. To perform rehabilitation exercises accurately, patients need immediate feedback. The project uses the so-called Human Pose Skeleton, which does the therapeutic exercises and monitors the movement of the patient in real-time. So that it becomes easier for the patient to see the movements of prescribed exercise and their body at the same time thus the patient is like a shadow of that Human Pose Skeleton trying to follow its movement and match them to ensure the correct performance of these unsupervised exercises. Nowadays, the market demands a mobile phone application that meets the needs of patients while performing therapeutic exercises in easy-to-use means and accessible to everyone who needs it as much as possible. The project aims to bridge this gap using active real-time feedback mechanisms to assist rehabilitation which will help patients continue performing exercises outside the clinic. This contributes to taking therapeutic exercises as a lifestyle, a desirable goal for successful rehabilitation.

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SmartDoor Lock

Project ID: UQU-CS-2019F-27
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Internet of Things
Other categories: N/A

Project language: English

Project supervisor:
Khaled Said Tarmissi

Project authors:

  1. Elaf Amen Jafar
  2. Hana'a Salem Bahatab
  3. Jumanah Ghazi Nahhas
  4. Aliah Mohammed Al-ghabeshi
  5. Huda Taha Al-attas

Project keywords:

SDL,Raspberry pi, Security.SDL,Raspberry pi, Security.

Project abstract:

Security is important in our life, especially in our homes to protect our families and children. For that we build a system to help people feel safe at their homes. We named this system SDL (SmartDoor Lock). SDL easily helps people to know who is behind the door. This system home owner can access the website with username and password and then if any guest come to hisher home the device will capture an image of hisher using Raspberry pi and send it to the owner by wifi, then the owner will decide either to open the door or not. Finally, this system will increase safety and privacy, save time. Help the elderly, employees and people with special needs.

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SMART TRAFFIC LIGHT SYSTEM

Project ID: UQU-CS-2019F-28
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Computer Vision and Graphics - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Abdulbaset Abdulaziz Gaddah

Project authors:

  1. Asala Khalid Pakistani
  2. Aroob Adel Khayyat
  3. Rawiyah Ahmad Bahitham
  4. Asma'a Ahmad Bahitham
  5. Areej Abubakuer Alamoudi

Project keywords:

Image processing, Smart Traffic, Emergency vehicles.

Project abstract:

Nowadays the use of traditional traffic signal is not enough to solve the traffic problems. such as, some people facing death because Emergency vehicles are late maybe from many cars in that road or longer time from traffic light to be green. Therefore, from this point we want to solve this issue by adding some features to traffic light system. The System processed these previous issues by images processing which taken from cameras in each crossroads, so if it seen any Emergency vehicles in any crossroads gives to it a priority to passing by make a light traffic green.

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Mining Information and Discover knowledge from Microblogs Data Imprint

Project ID: UQU-CS-2019F-29
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Social Networks
Other categories: Data Mining

Project language: English

Project supervisor:
Louai Mishal Alarabi

Project authors:

  1. Hadeel Yousef Alraddadi
  2. Atheer Majed Alhzami
  3. Elham Msfer Alasmari
  4. Layan Saleh Alahamdi
  5. Shahd Emad Alsayed

Project keywords:

Twitter, cluster, text classification, tweet

Project abstract:

this document explains proposed imprint system, well web designed system for querying, analyzing tweets microblogs. Treat tweet microblogs which consider as stream of rich data that carries different types of information. it has three main operations: locate hashtag, show trend evolution, Cluster account by their interest. locate hashtag specify location of origin tweet, show trend evolution that describe how trend spread along rang of distance and specify these locations in addition display other information like duration upon these locations, Cluster account by their interest by using text classification determine which the most topics user write about them. And presents the result on a map interface that allows an interactive vision.

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CMM: Crowd Movement Management

Project ID: UQU-CS-2019F-30
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories:
Other categories: Spatial and temporal data

Project language: English

Project supervisor:
Louai Mishal Alarabi

Project authors:

  1. Manar Mokhtar Rabee
  2. Yousra Abdullah Felemban
  3. Weaam Wael Khayyat
  4. Juman Adnan Alfhmi
  5. Amal Abdo Alabsi

Project keywords:

crowd movement, virtual simulation, data, generation.

Project abstract:

Traffic congestion or crowds gather in a specific place, as in Hajj motivated Scientists and power agencies to investigate and analyze the movements of organisms. Collecting a real dataset is a hard task as it takes a significant amount of time and effort. Unfortunately, the cost of acquiring such datasets is very high. For example: the GeoLife, project lead by Microsoft Research spent three years to get the track movement from 182 users. Our system Crowd Movement Management (CMM) will make virtual crowds on ASCII maps . Our system CMM will aim to simulate virtual crowds by taking the user specified region an either Al-Haram in Makkah or Al-Haram in Al-Medina or just Al-Kaaba region and generate crowd data in one of this region. And also CMM site provide to user to make visualization in OpenStreetMap on Al-Haram in Makkah region . our system will provide an easy-to-use web interface to user to generate the crowd datasets according to controller-bar (to change number of crowd) that user will choose it, anyone will be able to use the system, for example: researchers and authorities responsible for crowd control, organizations and associations. The program consists of two main components: 1. The crowd movement generator in three different specified region an either Al-Haram in Makkah or Al-Haram in Al-Medina or just Al-Kaaba region. 2. visualization with OSM . Therefore, researchers and field experts will not need to spend their time to generating this crowd by a complicated tools to the normal user Instead, they will focus on their main research.

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Scan market

Project ID: UQU-CS-2019F-31
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence
Other categories: N/A

Project language: English

Project supervisor:
Louai Mishal Alarabi

Project authors:

  1. Kholod Hussin Al-sehli
  2. Bashayer Ali Ibrahem
  3. Fatmah Ahmed Sedi baba
  4. Ghofran Khalid Doman

Project keywords:

Keywords: Vision 2030, retailers, consumers, Android, Self-shopping, scanning barcode.

Project abstract:

With the technical developments that have taken place that will happen in Saudi Arabia with Vision 2030, it is important For retailers keeping up with this development and adapting to it, people need an easy and fast shopping way thus It helps them to save time and effort and helps retailers satisfy consumers and reduce work pressure On the staff and in this project will be provided an application for the phone that supports the Android system, helps consumers to Self-shopping, and in this application will extract the amount of the product by scanning barcode the product via the smartphone camera and calculate the total products in the shopping cart

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SMB) SMART MEDICINE BOX)

Project ID: UQU-CS-2019F-32
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Internet of Things - Human computer interaction
Other categories: N/A

Project language: English

Project supervisor:
Mohanad Sobih Alqadah

Project authors:

  1. Rahaf Abduallah Alhariri
  2. Rahaf Saleh Abo alreesh
  3. Atheer Mohammad Aljohani
  4. Sarah Nasser Almajnuni
  5. Amna Abdulhalem Gaba

Project keywords:

Smart Medicine Box, Caregivers, Elderly, Arduino

Project abstract:

Most governmental units and hospitals take care and provide specialized care and home services to the elderly and disabled people, who have so many diseases and have to take different types of medication at different times and quantities, they most likely forget their medication and need to organize them. To avoid this situation, we proposed a smart medicine box that is connected to an Arduino device and mobile application. Our medicine box has a built- in alarm system consisting of light and sound that alert the patient to take the medication, whereas the light helps those who have a hearing impairment and the sound is for those with optical problems. Also, the box has sensors that check the presence of medicines and fingerprint that check user finger. Moreover, the mobile application benefits caregivers and patients with maintaining a clear track of the medication.

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Talaqi

Project ID: UQU-CS-2019F-33
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Social Networks
Other categories: N/A

Project language: English

Project supervisor:
Ahd Mohammad Aljarf

Project authors:

  1. Rawiyah Atiaha Alsharif
  2. Shatha Ya'gub Ashafey
  3. Duaa Ahmad Al-mahyani
  4. Sawsan Ismail Imam
  5. Hanan Ali Hakami

Project keywords:

Talaqi, Application, Missing Persons

Project abstract:

Nowadays there are a lot of missing people cases, which causes heartache and depression to those whose lost their beloveds. They may turn to social media outlets like Facebook, Twitter, and some other applications, websites to announce it. There are many websites and applications that support families but, none exists to help missing persons in Saudi Arabia. This project aims to create a mobile application to help missing people. The project will gather the missing people families and their relatives in one platform to gather announcements about missing cases, so people can easily access and track those announcements to give them hope.

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Detecting air quality system using AI technology (Ambience)

Project ID: UQU-CS-2019F-34
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Artificial Intelligence - Internet of Things - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Wesam Hassan Alsabban

Project authors:

  1. Lujain Zuhair Edrees
  2. Razan Mohammed Al-jabri
  3. Dalia Talal Al-masri
  4. Raneem Abdulrahman Felemban
  5. Zakia Hani Alghamdi

Project keywords:

AI, IOT, Air quality, Air pollution, O3, NO2, CO2, SO2, PM, Drone, Sensors, raspberry PI, SDS011

Project abstract:

With the continuous growth of the social economy and the continuous development of modern industry, urban environmental problems are becoming more and more serious, and countries around the world need to pay close attention to environmental pollution This project focus on hajj and Umrah in Saudi Arabia due it hosts Muslims pilgrims from around the world. As a result, Makkah and the holy places become very crowded, hence, there is high chance for pollution. This project aims to monitor air pollution levels by merging Artificial intelligence (AI) to a drone equipped with sensors to scan the air and gather information about quality of the air and the main factors of pollution.

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Be Safe:an application that can be used for tracking people using GBS

Project ID: UQU-CS-2019F-35
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Software Engineering
Other categories: N/A

Project language: English

Project supervisor:
Mohanad Sobih Alqadah

Project authors:

  1. Sameerah Abduljabbar Sharef
  2. Nada Hadi Alshumrani
  3. Khulood Matar Alzahrani
  4. Hanan Ahmed Aljunied
  5. Khulud Mahnus Alzahrani

Project keywords:

find my child ,be safe ,tracking system,track

Project abstract:

Nowadays, the loss of children and the elderly is a very common problem especially in large and crowded areas, so it is very important for parents to keep the safety of their children and the elderly, for this an application is Created in Arabic and English that runs on Android the goal of it is to track the elderly and children to know their locations and to make sure from their safety, the Parents (observer) determines a safety zone for them. This application is used on a mobile phone or a smart watch With a GPS system to display the locations for the Parents and enable them to define the safety zone to ensure their safety and activate the alert in case the child (target) exceeds a safe area and they can chat using WhatsApp, so that parents can know their children's movements and find them easily if they get lost.

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Daleli Dwa'ai

Project ID: UQU-CS-2019F-36
Project year: 2019

Project department: Computer Science
Project division: Girls

Project type: Software Based Project
Project categories: - Computer Vision and Graphics
Other categories: N/A

Project language: English

Project supervisor:
Mohanad Sobih Alqadah

Project authors:

  1. Bayan Farag Soror
  2. Lyan Abdullah Fatani
  3. Meaad Ibraheem Reem allah
  4. Sarah Mohammed Alharbi
  5. Asayel Awad Alsulami

Project keywords:

Keywords: medicine, barcode, pamphlet, medicine list, reminder.

Project abstract:

People with some type of a chronic disease must have a medication course to keep their health balanced. There is a large amount of applications that provide a specific feature to a needing patient. The aim of this project is to design an application that can help anyone to keep their health, by keeping track of the patient's medications. The application will help anyone using it to have all the information of a specific medicine and having an option to set a reminder to the medicine. Humans tend to forget, so having a reminder or a planner to remember to do a task is necessary. Since phones nowadays are essential to have and carry, having an alarm as an application is convenient. We expect to develop an application that gathers a lot of feature for the users so they will not need more than one application, since it will provide the users with everything they might need.

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Accident trackers application

Project ID: UQU-CS-2019S-02-M
Project year: 2019

Project department: Computer Science
Project division: Boys

Project type: Software Based Project
Project categories: - Information and Database management
Other categories: N/A

Project language: English

Project supervisor:
Tareq Fahad Aljabri

Project authors:

  1. Osama Ghazai Almatrafi
  2. Abdulmajed Ali Alganawi

Project keywords:

Keyword

Project 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.

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Protect Your Children

Project ID: UQU-CS-2019S-04-M
Project year: 2019

Project department: Computer Science
Project division: Boys

Project type: Software Based Project
Project categories: - Information Security
Other categories: Parental Control, Internet Safety

Project language: Arabic

Project supervisor:
Sultan Hamed Almotiri

Project authors:

  1. Bassam Abdulrahman Ahmed
  2. Ziyad Abdulrahman Almatrafi
  3. Afif Baqi Alfahmi

Project keywords:

Parental Control, Monitoring, Tracking, PYC, Remotely, Technology Addiction, Internet Safety

Project 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.

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Security Awareness (Wa3e) Platform

Project ID: UQU-CS-2019S-10-M
Project year: 2019

Project department: Computer Science
Project division: Boys

Project type: Software Based Project
Project categories: - Information Security
Other categories: N/A

Project language: English

Project supervisor:
Sultan Hamed Almotiri

Project authors:

  1. Muhammad Hamed Al-Sharif
  2. Saleh Ahmed Almalki
  3. Yaqoub Muhammad Qashqary

Project keywords:

security awareness, security, knowledge of security

Project 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.

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Big Data Analysis for Business Needs by Artificial intelligence

Project ID: UQU-CS-2019S-12-M
Project year: 2019

Project department: Computer Science
Project division: Boys

Project type: Research Based Project
Project categories: - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Mohammed Ali Alghamdi

Project authors:

  1. Mohammed Ahmed Aazm
  2. Suliman Mohammed Suliman
  3. Abdulrahman Khaled Aljohny

Project keywords:

Data analysi٫Artificial intelligence٫Social Media٫Language R٫rstudio

Project abstract:

We will analyze and rank the data on social media to see the Positives and Negatives through comments

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ACADEMIC ADVISING SYSTEM

Project ID: UQU-CS-2019S-13-M
Project year: 2019

Project department: Computer Science
Project division: Boys

Project type: Software Based Project
Project categories: - Artificial Intelligence - Data analysis
Other categories: Development and creation of websites

Project language: Arabic

Project supervisor:
Hosam Hasan Alhakami

Project authors:

  1. Hussam Abdulmalik Alsebayyil
  2. Hashim Abdulhamid Bagasi
  3. Hasan Sameer H Qari

Project keywords:

AAS

Project 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.

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Computer Engineering Department (CE)

Arabic Sign Language Recognition Using Machine & Deep Learning

Project ID: UQU-CE-20-101
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Software Based Project
Project categories: - Computer Vision and Graphics - Artificial Intelligence - Data mining - Human computer interaction - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Ghassan Farouq Bati

Project authors:

  1. Abdulhadi Mohmmed Almoqati
  2. Saeed Khader Alghamdi
  3. Wadah Awad Alqarni
  4. Khaled Ageel Alqarni

Project keywords:

Machine Learning, Deep Learning

Project abstract:

Most of us would like to communicate with deaf people, but not everyone knows sign language. Hence, we designed a mobile application capable of recognizing Arabic Sign Language alphabets (ArSL) using deep learning to rise awareness and shrink the gap of communication. We have used a fully labeled dataset of Arabic Sign Language consisting of 54,049 images for the 32 alphabets collected from 40 participants representing different age groups. Also, we have done various image embeddings to the dataset’s images to be shared with interested researchers.

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Mobile Overheat Protection

Project ID: UQU-CE-20-103
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Software Based Project
Project categories: - Computer Architecture and Digital Systems - Micro Systems Computer Aided Design - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Amar Yousef Jaffar

Project authors:

  1. Hani khalid bahha
  2. Mohammed Abdulrahim bin Afif
  3. Bassam Nabil Mubarak
  4. Abdullah Ali Alghamdi

Project keywords:

Protection, Mobile, Control ,Damage, Overheat, Battery, Charge

Project abstract:

This project is to display the temperature and when it goes beyond certain limit then control it to bring it back into desired level and reduce waste of energy and save our mobile phones of damage. It may also be used for monitoring changes in environment. In near future, it can also be used in different industries and electronic devices. Another objective is to study and build an automatic system using microcontroller and its interfacing with other device. Nowadays Arduino becomes more popular because of its many advantages like simple programming and compact in size. It supports many device, so that our goal is to achieve ability to do programming and get idea about the Arduino system.

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Discover Your Major

Project ID: UQU-CE-20-105
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Software Based Project
Project categories: - Artificial Intelligence - Data analysis
Other categories: Android Development

Project language: English

Project supervisor:
Ghassan Farouq Bati

Project authors:

  1. Asim sami al-lhabi
  2. Fadi adnan habhab
  3. Ahmed youssef Hawsawi

Project keywords:

Artificial intelligence ,Choosing college majors,Phoneotype

Project abstract:

College major affects one's the future career path. Commonly, many students choose their major based on subject they used to love in high school; However, they might excel more in other majors they have no knowledge about it. This paper proposes a new methodology for selecting disciplines based on phone information that changes traditional methods such as paper scale, to improve the result, shorten the time using the method. The data in this paper taken from a 12-week study involving 30 persons. We find that: (1) different phoneotypes features are related to choose college major; (2) phoneotypes features and demographics when joined created a prediction model with results capable of predicting choose college major in a better way than a demography-based model.

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Hotel Security Using Fingerprint Authentication System

Project ID: UQU-CE-20-108
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Software Based Project
Project categories: - Software Engineering - Information Security
Other categories: N/A

Project language: English

Project supervisor:
Amar Yousef Jaffar

Project authors:

  1. Sohayb sujjadah
  2. Abdulrhman aljeead
  3. Abdurhman alzhrani
  4. Rami alhudali

Project keywords:

fingerprint,softwer, arudino

Project abstract:

The computing technology has evolved a lot in the last years, Computers has evolved in such a way to finish any task in a blink of eye, so according to this huge time performance many companies and organizations are going towards the brilliant automations solutions, Many factories also are going towards these solution which is called the 4th generation industrial revolution, Our project is an application that automates routine registration process in a hotel, the application also adds some security by using biometric system to identify it’s user (i.e. fingerprint).

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Fall Detection System

Project ID: UQU-CE-20-109
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Software Based Project
Project categories: - Artificial Intelligence - Internet of Things - Human computer interaction
Other categories: N/A

Project language: English

Project supervisor:
Saleh Mohammed Basalamah

Project authors:

  1. Faisal Almutairi
  2. Alwaleed alamri
  3. Mohammed Alzahrani
  4. Saud Alzaidi

Project keywords:

Fall Detection System, Fall Detection, Fall System

Project abstract:

Older people tend to fall more than once, especially when they live alone. In the event of a fall accident, medical care should be provided immediately to reduce the risk of falling from serious injuries that could result in death. So we developed an intelligent and effective fall detection and alarm system using a smartphone and wireless sensors.

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(Bus Riding Management System using IR sensor (BRM

Project ID: UQU-CE-20-110
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Software Based Project
Project categories: - Software Engineering - Internet of Things - Micro Systems Computer Aided Design - Data analysis
Other categories: N/A

Project language: English

Project supervisor:
Amar Yousef Jaffar

Project authors:

  1. Talal Eed Alosaimi
  2. Hayyan Waleed KareemAldeen
  3. Fadi fahad Yamani
  4. Yaser Fawzi Jambi

Project keywords:

Bus , IOT

Project abstract:

It is our rights and duties as students of Umm Al-Qura University to serve pilgrims in different fields. Whether material or moral and as a principle for us as students in computer engineering at Umm Al-Qura University. It is a service that makes it easier for the pilgrims to choose the right bus for him and his family. One of the problems that we faced when the pilgrims ride the bus in the process of stampede among the pilgrims to ensure that they ride to the bus and this led to damage between the pilgrims and some of the injuries and other feelings such as anger, and anxiety, also know the conditions of the bus, and how the process of secretion Pilgrims and the movement between holy places and lack of some information for the officials. On the status of knowledge of the bus, the information on the bus almost non-existent, we tried to devise some solutions to reduce the problems resulting from this matter.

Project poster: Click here

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Solar Power-Based Smart Stick with GPS for Guiding Blind People

Project ID: UQU-CE-20-112
Project year: 2019

Project department: Computer Engineering
Project division: Boys

Project type: Research Based Project
Project categories: - Micro Systems Computer Aided Design
Other categories: N/A

Project language: English

Project supervisor:
Majid Mohammad Algethami

Project authors:

  1. Naif Alghamdi
  2. Abdullah Alotaibi
  3. Mohammed Almalki

Project keywords:

Smart Stick, Blind People, Visually Impaired, Arduino Uno, Object Detection, Obstacles.

Project abstract:

Blind people have a different life than normal people. They depend on others for their movement, which may cause them to lose confidence in themselves. Also, because they cannot see, they face difficulties in detecting obstacles and dangers on their way while walking or moving around, which may put them at risk. In this project, we propose a smart stick system that aims for guiding and assisting blind people and enable them to identify the world around them. The proposed system work to detect obstacles and staircases using an ultrasonic sensor. It alerted blind people by vibration and sound if any object detected on the way through a vibration motor and buzzer and others will know if they are need help when the red LED is on. The system allows their families to track them easily anywhere anytime if they are lost via Global Positioning System (GPS). And for urgent, to communicate the blind person with his family, we added Global System for Mobile (GSM) so that if the person pressed a push button, a message will be sent to his family. We used solar power to ensure no power interruption and to use eco-friendly material. In our project, we seek to provide a smart stick that is capable of giving reassurance for blind people to move around alone without fear, a proper tool that's comfortable for them to use and affordable.

Project poster: Click here

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