COMPUTER SCIENCE

The intersection of data science and artistic expression has given rise to innovative forms of generative art, one of which is music visualization. This project, "From Data to Art: Generative Music Visualization," explores the transformation of audio data into dynamic visual representations using computational algorithms and artificial intelligence. The system analyzes real-time music input, extracting key audio features such as frequency, amplitude, and rhythm, and maps these elements to generate visually appealing and interactive graphics.

The project employs signal processing techniques, machine learning models, and creative coding frameworks to develop an immersive audiovisual experience. Technologies such as Python, Processing, WebGL, and TensorFlow are utilized to process and interpret music data, translating it into fluid, evolving visuals that synchronize seamlessly with the audio. The visualization system supports multiple artistic styles, ranging from geometric abstraction to organic particle animations, ensuring a diverse range of expressive outputs.

Through this research, the project aims to enhance the way audiences engage with music by creating a synesthetic experience that bridges sound and visual perception. The study also examines how generative music visualization can be applied in areas such as live performances, virtual reality, and therapeutic environments. Ultimately, this work contributes to the growing field of computational creativity, demonstrating the potential of AI and data-driven techniques in redefining digital art.

This study evaluates the role of mobile applications in enhancing service delivery across various sectors, including healthcare, public services, and customer support. The rapid adoption of mobile apps has transformed how services are accessed and delivered, making it essential to assess their effectiveness, usability, security, and user satisfaction. Through a combination of quantitative and qualitative methods, this research analyzes the key factors influencing the use and success of mobile apps in service delivery. The study specifically examines the usability and user experience of mobile apps, the efficiency of service delivery, security and privacy concerns, adoption barriers, and the role of personalization features in boosting user engagement. A questionnaire was administered to users who regularly interact with mobile apps for service delivery, gathering insights into their satisfaction, challenges, and expectations. The findings reveal that while mobile apps generally improve service efficiency and engagement, significant challenges remain in areas such as technical stability, security, and accessibility. Notably, users expressed concerns regarding privacy and data security, which can hinder the broader adoption of mobile apps. This research highlights the importance of addressing these challenges to ensure the continued success of mobile apps in service delivery. Recommendations for improving app usability, enhancing security measures, overcoming adoption barriers, and leveraging personalization features are provided. The study contributes to the growing body of knowledge on mobile technology and its impact on service delivery, offering valuable insights for developers, service providers, and policymakers seeking to optimize the user experience and maximize the benefits of mobile applications.

An online book store is a web-based program which allows customers to order books online from anywhere at any time. This online bookstore created for the use of The University of Benin provides two modules which are admin module, customer module and one back-end database to store the information. In the admin module we can add books, categories, subcategories as well as receive queries from users. In the customer module, registered users can buy the various books or bunch of books that admin has added through its admin module, users can search the books that they want but for all this they have to create our account through the registration page. Users may log in using his/her login credentials, or new users can simply register an account. Customers must submit their full name, contact details, and shipping address. Also, users can
search for a book by its title or author, later can add it to the shopping cart. For successful and safe delivery, users have to fill right information in shipping details page. The books are classified into different categories depending on the department, such as Computer Science, Physics, Chemistry and Architecture etc. Customers can shop online at the online book Store website using a web browser like chrome. The online bookstore was created with PHP and web programming languages and hosted locally

Welfare schemes provide essential financial support to their members, offering services like lowinterest loans, retirement benefits, and end-of-year incentives. However, many of these schemes struggle with inefficiencies caused by outdated processes, leading to delays, errors, and frustration for both members and administrators. This project aims to develop a user-friendly financial management system to address these challenges. The system will allow members to easily track their contributions, loans, and benefits while providing administrators with tools to manage resources more effectively. By simplifying operations and i proving transparency, this solution seeks to enhance the experience for all users, fostering trust and ensuring the welfare
scheme runs smoothly for years to come.

Welfare schemes provide essential financial support to their members, offering services like lowinterest loans, retirement benefits, and end-of-year incentives. However, many of these schemes struggle with inefficiencies caused by outdated processes, leading to delays, errors, and frustration for both members and administrators. This project aims to develop a user-friendly financial management system to address these challenges. The system will allow members to easily track their contributions, loans, and benefits while providing administrators with tools to manage resources more effectively. By simplifying operations and improving transparency, this solution seeks to enhance the experience for all users, fostering trust and ensuring the welfare scheme runs smoothly for years to come.

This paper presents the development of a Web-based Accommodation Allocation System (WAAS) designed to efficiently and transparently match flood victims with available temporary housing resources. Current disaster response efforts often struggle with manual, chaotic, and slow processes for housing assignment, leading to delays and inefficient resource utilization. The WAAS utilizes modern web technologies (e.g., cloud hosting, responsive design, and database management) to create a centralized, real-time platform. The system allows authorized relief agencies to rapidly input and manage available housing options (shelters, vacant properties, host families) while simultaneously registering and categorizing victims based on their immediate needs, family size, and specific vulnerabilities. A core algorithmic component ensures optimal, rule-based matching, prioritizing the most vulnerable populations and minimizing relocation time. The implementation demonstrates a significant improvement in the speed, accuracy, and accountability of post-disaster accommodation management, offering a critical tool for enhancing humanitarian aid logistics and victim support.