E. NWELIH

Vehicle identification and verification play a critical role in ensuring the security of controlled environments such as university campuses. At the University of Benin’s Ugbowo Campus, the existing manual vehicle verification process suffers from several limitations, including delays, human error, poor record keeping, and the absence of real-time validation. This study addresses these challenges by designing and implementing an Automated Car Plate Number Recognition (ANPR) system capable of detecting, recognizing, and verifying vehicle license plates using computer vision and optical character recognition (OCR) techniques. The system was developed using the Flask web framework, OpenCV for image preprocessing and license plate localization, and the Tesseract OCR engine for extracting alphanumeric characters. A MySQL database was integrated for storing records of registered vehicles and maintaining logs of recognition events. The system allows security personnel to upload vehicle images through a web interface, after which the application automatically processes the image, recognizes the plate number, checks its validity against the stored records, and provides immediate feedback. Testing of the system using images captured under different conditions such as clear daytime lighting, low light, skewed angles, and motion blur revealed that the system performs accurately under favourable conditions and provides partial or usable information even under challenging scenarios. Although recognition performance decreases with poor image quality, the system still offers considerable improvements over manual verification by reducing reliance on human judgment and enhancing the accuracy, speed, and reliability of vehicle monitoring.

Credit risk assessment is a critical process in lending institutions aimed at evaluating the likelihood of loan default by applicants. Traditional manual assessment methods are often inconsistent and time-consuming, while many automated credit scoring systems lack transparency and explainability. This study presents the design and implementation of a web- based credit risk assessment system . The proposed system captures key applicant attributes and applies predefined decision rules to compute credit risk scores. Debt-to-income ratio and other affordability indicators are used to classify applicants into low, medium, or high risk categories. The system generates clear and interpretable credit decisions accompanied by explanatory reasons. A structured system analysis and design methodology was adopted to guide development. The system was implemented using web technologies and deployed as a browser- based prototype. Functional testing was conducted using representative test cases. Test results confirmed that the system produces accurate, consistent, and explainable credit decisions. The system enhances transparency, usability, and decision accountability. The study demonstrates that explainable rule-based models can effectively support automated credit risk assessment in small and medium-scale lending environments.

In an increasingly digital world, User Interlace (UI) and User Experience (UX) design have become pivotal in shaping the interactions between users and technology. This comprehensive study delves into the multifaceted realm of UI and UX design, aiming to unravel the intricacies and importance of crafting intuitive and user-centric interfaces. Through a meticulous exploration of principles, methodologies, case studies, and emerging trends, this study seeks to provide valuable insights for designers, researchers, and stakeholders in the field. By examining the symbiotic relationship between UI and UX, we aspire to illuminate the path towards creating memorable and meaningful digital experiences

This project presents the design and implementation of a Class Academic Resource Distribution System developed for the Department of Computer Science, University of Benin. The system was created to solve the problem of disorganized and unverified learning materials shared through informal channels such as WhatsApp and Google Drive. It provides a centralized web-based platform where lecturers and class representatives can upload course-specific, lecturer-approved materials, while students can easily access them in one place. The project adopted the Rapid Application Development (RAD) methodology and was implemented using HTML, CSS, Python (Django), and MySQL. System testing confirmed efficient performance, secure access control, and reliable file management. The platform successfully improves accuracy, accessibility, and communication among students, lecturers, and class representatives, laying a strong foundation for future departmental and university- wide deployment

This project presents the design and implementation of a Class Academic Resource
Distribution System developed for the Department of Computer Science, University of Benin. The system was created to solve the problem of disorganized and unverified learning materials shared through informal channels such as WhatsApp and Google Drive. It provides a centralized web-based platform where lecturers and class representatives can upload course-specific, lecturer-approved materials, while students can easily access them in one place. The project adopted the Rapid Application Development (RAD) methodology and was implemented using HTML, CSS, Python (Django), and MySQL. System testing confirmed efficient performance, secure access control, and reliable file management. The platform successfully improves accuracy, accessibility, and communication among students, lecturers, and class representatives, laying a strong foundation for future departmental and university- wide deployment.

In this project, I developed a web application to Educate users on social engineering by testing them with real life scenarios to familiarize them with social engineering tricks. The application is designed using mainly the Java technology, it is designed as a web application so it can run on browsers, as a result, the user interfaces are developed using web technologies such as HTML5, CSS3 and JavaScript. The application logic is developed using Java beans and Java Servlet. The application is designed using the Model-View-Controller approach (MVC). The data persistent layer is maintained using the MySQL relational database. The simulator developed will help the users easily identify social engineering attacks, this will help in the long-lasting battle against social engineering.

Traditional cybersecurity awareness programs often struggle with engagement, scalability, and the ability to measure real behavioral change among users. To address these challenges, this project presents the development of a Phishing Simulation and Awareness Portal using Google Workspace tools. The system is designed to simulate real-world phishing attacks in a controlled environment and educate users through interactive, micro-based lessons. Built with Google Apps Script, Gmail, and Google Sheets, the platform automates the creation, deployment, and tracking of phishing campaigns, while maintaining real-time event logging and analytics. It also provides administrators with a simple, centralized interface for managing email templates, campaign configurations, recipient data, and awareness metrics. By integrating simulation and training within the familiar Google ecosystem, the system eliminates the need for external applications and ensures ease of deployment across organizations. Ultimately, this project aims to enhance user vigilance, reduce susceptibility to phishing threats, and promote a culture of proactive cybersecurity awareness through continuous education and data-driven feedback

It is estimated that an average human being will fall ill more than three times every year. People are always looking for different hospitals to solve their health challenges and they don’t know the directions and the route to be followed to get to this places. Without knowing the right routes and directions, this may cause ill persons to get to the wrong way, which might lead to death, in cases of emergency. To avoid this situation, this project is to provide an online hospital location system, developed to help users to get the right directions to different health centers. This introduces an application that can be easily accessed, which is implemented to provide the routes, directions, traffic update and see other hopital users reviews about the hospitals using Google map. The proposed system additionally presents automated navigation activities, with providing directions to users with the optimal path between start point and destination and ascertaining the driving duration with distance. Google Maps APIs, Google Direction APIs, PHP, JSON and MySQL have been implemented and utilized in this system to provide solutions. This application uses the client/server architecture, the users serve as the client and the combination of PHP and MySQL database serve as a server.

This study focuses on the development of a web application-based Census Management System, designed to streamline the process of collecting, managing, and analyzing census data. The system aims to enhance the efficiency and accuracy of census operations by automating data collection, reducing human error, and improving the overall management of census records. Key features of the system include real-time data entry, secure user authentication, data validation, and an intuitive interface for both administrators and users. Additionally, the system provides tools for generating reports and visualizing census data, facilitating decision-making and policy formulation. This webbased approach ensures easy access, scalability, and seamless integration with existing infrastructure. The development of this system contributes to improving the management and utilization of census data, offering a more effective solution for national or regional demographic surveys.