Graduation Project - Bachelor of Computer Science

Graduation Project 2023-24 Third Sem

Research Based Projects

No. Project Title Abstract
1

Online Website Medical For Pneumonia Detection Based on X-ray Images Using Deep Learning

Pneumonia remains a significant global health concern, impacting individuals of all ages, particularly young children and the elderly. Early and accurate diagnosis is crucial for effective treatment and improved patient outcomes. This project presents the development of an online platform for pneumonia detection using deep learning algorithms and chest X-ray images. A convolutional neural network (CNN) model is trained on a dataset of labeled X-ray images to automatically identify pneumonia cases. The trained model is then integrated into a user-friendly website, enabling users to upload X-ray images and receive instant predictions. The platform aims to provide a readily accessible and efficient tool for preliminary pneumonia screening, aiding healthcare professionals in faster diagnosis and treatment decisions. This project explores the potential of deep learning in improving pneumonia detection accuracy and accessibility, ultimately contributing to better global health outcomes.

2

Developing cars with artificial intelligence

The automotive industry is undergoing a significant transformation with the advent of Artificial Intelligence (AI). Traditional vehicles, while efficient, lack the ability to optimize their operations based on real-time data and cannot interact with their environment in a meaningful way. This leads to issues such as inefficient fuel consumption, increased risk of accidents, and a lack of personalized driving experiences. Method: This project proposes the development of cars with AI capabilities to address these challenges. We leverage machine learning algorithms for object detection, route planning, and control algorithms for autonomous navigation. We also use pattern recognition for improved safety measures and regression algorithms for predicting events. The project utilizes various datasets like ONCE and CARLA for training and testing the AI models. The implementation of AI in cars resulted in improved safety measures, increased fuel efficiency, and enhanced driving experiences. The AI-enabled cars were able to detect and respond to their environment in real-time, leading to safer and more efficient driving. Furthermore, the AI was able to learn and adapt to different driving conditions, demonstrating the potential for personalized driving experiences.

Development Based Projects

No. Project Title Abstract
1

Youth Empowerment Center

Response to the multifaceted challenges facing today's youth, such as educational hurdles and career uncertainties, the creation of a supportive platform becomes imperative. This paper introduces the Youth Empowerment Center, a comprehensive online hub aimed at fostering personal and professional growth among young individuals. The platform offers a diverse range of resources, including training courses, educational programs, and online materials covering various topics and skills, accessible upon user registration and profile creation. Furthermore, users can enhance their CVs and seek guidance through inquiries directed to platform supervisors. Additionally, the platform facilitates participation in volunteer opportunities, enriching users' resumes and promoting civic engagement. Admin functionalities are also incorporated, featuring management capabilities for user accounts, courses, volunteer work, and inquiries. Through the Youth Empowerment Center, we aim to empower youth to navigate challenges, pursue their aspirations, and realize their full potential in today's dynamic world.

2

Future Tech Platform

The Future Tech Platform is envisioned as a comprehensive repository of the latest advancements in technology, ranging from innovative software applications to cutting-edge artificial intelligence technologies. This platform aims to serve as a one-stop solution where users can explore, learn, and rate various technological tools and programs. The platform is designed with an interactive interface that allows users to not only access detailed information about each technology but also contribute to the platform’s content. Users can share their knowledge and expertise by writing articles or uploading instructional videos explaining the use of specific technologies. This feature fosters a collaborative learning environment and encourages active participation from the users. To ensure the quality and relevance of the content, the platform is equipped with an administrative function. The platform administrator has the authority to manage the site’s content, including approving or rejecting new tools based on certain standards such as modernity, functionality, and accuracy. Moreover, the platform incorporates a reward system where users earn points for every technology they add or for every explanation they provide about a particular technology. This gamification aspect is intended to motivate users to contribute more actively to the platform.

3

DriveTrust: Building a Transparent Car Marketplace in Saudi Arabia

This platform aims to revolutionize the process of selling cars in Saudi Arabia by providing a transparent and efficient marketplace for both buyers and sellers. By eliminating fraud and preventing price inflation, the dealership will uphold integrity and trust within the automotive industry. The platform will include all car agencies and manufacturers, offering a wide variety of options to potential buyers. Through innovative technology and stringent measures, this dealership will set a new standard for the car buying experience in Saudi Arabia.

4

Early detection system for breast cancer using AI

Breast cancer is the leading cause of death among women. Several types of research have been done on early detection of breast cancer to start treatment and increase the chance of survival. Most of the studies concentrated on mammogram images. However, mammogram images sometimes have a risk of false detection that may endanger the patient’s health. It is vital to find alternative methods which are easier to implement and work with different data sets, cheaper and safer, that can produce a more reliable prediction. Breast cancer remains a significant global health challenge, with early detection being crucial for improving patient outcomes and survival rates. Despite advancements in medical imaging and diagnostic techniques, there is a continuous need for more accurate and efficient methods for detecting breast cancer at its earliest stages. In response to this imperative, this project aims to develop an advanced early detection system for breast cancer by leveraging a combination of traditional machine learning and deep learning algorithms. This project will employ state-of-the-art techniques to analyze mammogram images and patient-specific data, with the ultimate goal of accurately identifying potential signs of breast cancer at the earliest stages. By integrating both image-based analysis and patient-specific information, the system aims to enhance the accuracy and reliability of breast cancer detection, thereby facilitating timely interventions and improving patient outcomes.

5

Deep Learning-Based Object Detection and Recommendation Android Mobile Application

This project aims to develop an object detection system using deep learning techniques to enable users to detect objects in real-time video streams. The system leverages the power of deep learning models, specifically convolutional neural networks (CNNs), to accurately identify objects within the input data. Once an object is detected, the system provides the user with detailed information about the detected item, such as its category, and attributes. Additionally, the system offers suggestions to the users if they express interest in purchasing the detected item. This project combines computer vision, deep learning, and recommendation systems to create a user-friendly and interactive platform that enhances object detection capabilities while providing a personalized shopping experience. The system has the potential to be utilized in various domains, including e-commerce, smart retail, and visual search applications.

6

Gaining Experience for Graduates platform

The “Gaining Experience for Graduates” platform is a comprehensive solution designed to address the ‘experience paradox’ faced by many graduates. It offers real-world projects in collaboration with various industries and organizations, allowing graduates to gain practical experience and apply their academic knowledge. The platform also provides industry-specific training courses, designed with industry experts, to equip graduates with relevant hard and soft skills. Continuous guidance, performance feedback, problem-solving assistance, and career advice are also provided. The completed projects enhance graduates’ portfolios, thereby increasing their employability. This initiative aims to ease graduates’ transition into the professional world and help them stand out in the competitive job market.

7 Building and developing the site of a relationship of kinship "Silah" for the ancient families

“Silah” website is an electronic platform dedicated to large families, designed to help individuals maintain family ties, communicate better, and organize family events. Registering personal and family information, and determining kinship relationships between family members. The site provides a family calendar of important events and meetings, as well as a communication system that allows users to interact with each other through the site. Sila is especially useful for large families living in different parts of the world, as it enables individuals to stay in touch and get to know other families they have never met before. Using Sella, individuals can maintain strong family ties and keep family memories alive for future generations.

8

Jazan University bus service website

The project aims to develop a comprehensive website for managing and tracking Jazan University buses. The website will provide real-time updates on bus schedules, including arrival and departure times, and offer live tracking of buses. It will also feature a notification system to alert users about their bus’s proximity and any changes in the schedule. Special attention will be given to event days when the regular schedule may vary. The goal is to enhance the transportation experience for university students and staff, ensuring punctuality and efficient time management. The project will prioritize user-friendliness, data security, and privacy.

9 Emotion detected by AI

The project is about making a phone app that looks at your face to see how you're feeling. It uses the camera to detect your emotions like happiness or sadness. Then, it gives you advice to help you feel better, like giving you tips to relax if you're feeling stressed. The goal is to help people understand and manage their emotions better using their phone. We'll also make sure to keep people's privacy and security in mind when we create the app.

10

University Students Admission Helper System (USAHS)

The new (University Students Admission Helper System) is a web based application system in which the high school graduate students can register on the online system with their personal information and the high school marks. This USAHS helps students to predict their admissions in university colleges as a proposal to help the new student to choose his major. Administrator can edit the college details and the college majors and upload the study plan file for each major. With using USAHS as online application, the student’s entrance college seat allotment becomes easier and efficient. The main advantage of the project is to computerize the entrance college seats allotment process. Administrator has the power of the allotment. Admin can edit the college majors allotted seats details and conditions for each major to be saved in to the system database. The total time for major’s entrance allotment becomes lower and the allotment process becomes faster. It helps students to make the right decisions for choosing their college and major.

 

Last Change
Thursday 05 Jumada Al-Ula 1446
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