DEPARTMENT OF COMPUTER SCIENCE

Hepatitis is a major global health issue, impacting millions worldwide. Early detection and precise diagnosis are essential for effective treatment and preventing complications. This study proposes a predictive model for hepatitis diagnosis using ensemble feature selection techniques and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). The goal is to develop a robust and accurate model to assist healthcare professionals in promptly diagnosing hepatitis cases. The methodology follows the CRISP-DM framework, including data collection, preprocessing, ensemble feature selection, ANFIS model development, and evaluation using performance metrics like accuracy, precision, recall, and F1-score. Publicly available hepatitis datasets are utilized for experimentation and validation. The results demonstrate that ensemble feature selection effectively identifies informative hepatitis diagnosis features, enhancing the model's predictive performance. The ANFIS model, trained on the selected features, achieves high accuracy and balanced performance metrics, indicating its effectiveness in accurately diagnosing hepatitis cases. The implications include early hepatitis detection, healthcare resource optimization, and potential for personalized medicine. Future directions involve integrating additional data sources, continuous model refinement, and clinical validation studies. This study contributes to advancing predictive modeling for hepatitis diagnosis and highlights the importance of interdisciplinary collaboration between healthcare and data science disciplines in addressing global health challenges.

Tertiary institutions face significant challenges in managing student academic records, often relying on manual or semi-automated systems. These outdated methods frequently lead to delayed result processing, computational inaccuracies, and a lack of real-time access to academic performance data, ultimately hindering institutional efficiency and student development. This project addresses these issues through the design and implementation of a Result-Based Management System (RBMS). The system automates the computation and management of student results, featuring interactive dashboards for students and administrative staff, and generates standardized reports for lecturers, department administrators, and students. Using the Computer Science Department at the University of Benin as a case study, this project demonstrates the critical need for tertiary institutions to adopt automated solutions for tracking and analyzing student performance. The developed RBMS is a robust digital platform that includes modules for calculating Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA), alongside providing real-time academic analytics. Constructed as a web-based application, the system utilizes HTML, CSS, PHP, JavaScript, jQuery, and MySQL. The project methodology follows the Structured System Analysis and Design Method (SSADM), ensuring a systematic approach by deconstructing complex processes into clear, manageable stages. The successful implementation of this system not only resolves the inefficiencies of manual result computation but also serves as a scalable model for digital transformation within academic administration.

Efficient complaint management is essential for enhancing student satisfaction and institutional accountability in higher education. However, most existing systems lack intelligence, scalability, and analytical depth. This dissertation presents the design and implementation of an AI-driven Student Complaints Management System (SCMS) that integrates Natural Language Processing (NLP) and sentiment analysis to improve how student grievances are captured, categorized, and resolved. The system applies text-mining techniques to interpret complaint narratives, classify issues by department, and assess emotional tone to prioritize responses. A modular web-based architecture enables real-time reporting, trend visualization, and administrative insights. Using a design science research methodology, the study demonstrates that intelligent automation significantly reduces resolution time and enhances decision-making transparency. The proposed SCMS contributes to the field of educational technology by merging human-computer interaction with data analytics to foster responsive governance and continuous improvement in higher education service delivery

The optimization of frames per second (FPS) in camera systems is a critical factor in enhancing the efficiency and reliability of modern surveillance applications. FPS directly influences image clarity, motion detection accuracy, and the overall responsiveness of monitoring systems. High FPS ensures smoother video streams, enabling precise identification of fast-moving objects, while low FPS conserves bandwidth and storage resources. This study explores the balance between performance and resource management in surveillance environments, focusing on adaptive FPS optimization techniques. Key strategies include dynamic frame rate adjustment based on scene activity, integration of artificial intelligence for motion-triggered recording, and hardware-software co-optimization to reduce latency. By aligning FPS with contextual surveillance needs—such as crowd monitoring, traffic control, and perimeter security—camera systems can achieve improved situational awareness without excessive computational or storage overhead. The findings highlight that intelligent FPS optimization not only enhances operational efficiency but also strengthens the scalability and sustainability of surveillance infrastructures.

This study the development of an information gathering system for a rapid socio-economic transformation in Nigeria. The objectives of study are to examine the role of information gathering in the rapid socio economic transformation in Nigeria and to identify the approaches to reliable information gathering for the purpose of socio economic development. The finding of the study reveals that the granting of loans by other government financial institutions to small scale agriculture is adequate. It was concluded that technical assistance provided by BOA to small scale industries is adequate to sustain their survival and that Bank of Agriculture has significant impact on agricultural development. the method used in carrying out this project in this section we presents the problems with the existing system with a view to proposing a new system, The architecture of the proposed system in terms of system model, flowcharts, class diagrams, use case diagram, database structure are presented and the network architecture for the system. Concern with the implementation and testing phase, which constitute the main part of the new software. The software and hardware information needed for the development of information gathering system for socio-economic transformation in Nigeria. Training of staff: Staffs that are to use the system are trained as required depending on the complexity of the system and the skill presently available. This programming meets or conforms to the requirements set out in the system specifications are designed and written by the programmers.

The web based brochure system for tailoring is a web based system application designed for the tailor’s shop. This project is aimed to automate the tailor’s shop which is manually maintained. After the automation this will mean, better services and good keeping of records, data integrity, data security, quick search and also paperless environment. The project has mainly tackled management of information for the customers and in decision making. Every user of the system will have to log into the system using username and password so that security and authentication will be ensured. Once logged in, a customer can make and order. The system administrator is able to manage customer information and also update records.

Many elderly individuals face challenges in remembering to take their medications as prescribed, which often leads to health problems. This paper presents the design and implementation of a medical reminder system tailored specifically for the elderly. This system aims to address the challenges faced by the elderly population in adhering to complex medication regimens and timely appointments. The proposed system leverages a combination of hardware and software components to provide timely reminders, medication management features, and emergency contact capabilities. The hardware components include a user-friendly interface, a robust communication module, and sensors for monitoring vital signs. The software component encompasses a user-friendly interface, a comprehensive medication management system, and a secure communication platform. The system is designed to be easily customizable to accommodate individual needs and preferences, ensuring its adaptability to diverse elderly populations. The evaluation of the system demonstrates its effectiveness in improving medication adherence, reducing medication errors, and enhancing overall healthcare management for the elderly.

This project presents the design and implementation of a web-based student marketplace aimed at improving buying and selling activities within an academic environment. The system was developed to address challenges commonly faced by students, such as limited access to affordable goods, lack of organized trading platforms, and trust issues in informal transactions. The marketplace provides a centralized online platform where students can register, list products or services, search for items, and communicate securely with other users. The system was designed using structured system analysis and developed with modern web technologies to ensure efficiency, usability, and data security. Emphasis was placed on user-friendly interfaces and reliable database management to support smooth transactions. The implementation and testing of the system showed that it effectively enhances accessibility, promotes entrepreneurship among students, and reduces the time and effort involved in campus trading activities. The project demonstrates that a web-based student marketplace can significantly improve commerce and interaction within tertiary institutions.

The MERN ChatApplication for College Students is a contemporary web-based communication tool created to facilitate seamless interaction and collaboration among college students. In today's digital era, effective communication plays a crucial role in improving learning outcomes and building a sense of community among students. Current chat applications often lack the specific features and security measures required for the unique needs of college students. Taking into consideration the constraints and the scope of the project, which is the University of Benin, Department of Computer Science, the method proposed by this project is a MERN Chat Application which aim to tackle these challenges by offering a secure, user friendly, and feature-rich platform tailored to the needs of college students. By utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js), the application provides a strong and scalable solution for real-time messaging, group discussions, and academic collaboration. Key features of the MERN Chat Application include secure user authentication, dedicated group chat spaces, real-time messaging capabilities, and compatibility across various devices and web browsers. The application places a high priority on user privacy and data security, ensuring that student information remains confidential and always protected. Through a combination of cutting-edge technology, user-friendly design, and comprehensive features, the MERN Chat Application aims to transform the way college students communicate and collaborate. By offering a centralized platform for academic discussions, resource sharing, and group projects, the application aims to improve learning outcomes, encourage community engagement, and promote collaborative learning among college students.

Sustainable waste management is one of the most important activities in any institution, as it directly influences environmental health and campus sustainability. So far, the manual methods adopted at the University of Benin (UNIBEN) have proven to be inadequate,extremely confusing for users, and lacking in motivation, amongst other disadvantages.
This project emphasizes the need to adopt a more modern, user-centered digital solution. These methods include mobile apps and other digital interventions. Taking into consideration the constraints and the scope of the project, which is the University of Benin, the method proposed by this project is a User-Centered mobile application named "UNICYCLE." However, this project focuses on the UI/UX design and high-fidelity prototyping of this application, where the campus community can access educational guides, learn to sort waste, and be motivated through gamification. The system is validated by user feedback and
quantitative testing.
This project makes use of the User-Centered Design (UCD) approach, specifically the five-phase Design Thinking model (Empathize, Define, Ideate, Prototype, Test), to represent the designs for the system architecture.
These designs served as the framework for the final prototype. The system can handle the whole process of promoting recycling behavior, from user education and motivation to providing real-time utility, validated by an "Excellent" System Usability Scale (SUS) score of 87.0