F. AMADIN

This project addresses the inefficiencies inherent in the manual appointment scheduling system at the University of Benin Health Centre, characterized by long waiting times, overcrowding, and poor data management. The study aimed to develop a centralized, web-based hospital appointment management system to enhance operational efficiency and patient access. The solution was designed using a three-tier client-server architecture and UML modeling (Use Case, Class, Activity, and Sequence diagrams) to define the clear interactions between Patients, Doctors, and Administrators. Implementation utilized PHP, MySQL, and Bootstrap to deliver a secure, responsive platform. Key functionalities include real-time appointment booking, doctor profile management, administrator approval/cancellation. Testing and evaluation confirmed the system's robustness and its successful fulfillment of all functional requirements. In conclusion, the developed system successfully digitizes the entire appointment workflow, significantly reducing administrative burdens and patient waiting times, thereby improving the overall quality of healthcare service delivery. Future recommendations include integration with external hospital systems, SMS reminders and advanced security features.

This project focuses on the design and implementation of a lightweight honeypot system aimed at detecting and logging unauthorized access attempts on a local network. With cyberattacks
becoming increasingly common and sophisticated, many small organizations lack the tools to properly monitor their networks. Honeypots offer a simple yet effective way to study intrusion behaviour by acting as decoy systems that attract potential attackers. The system developed in this project was built using Python due to its flexibility and strong support for network programming through libraries such as socket, datetime, and logging. It works by listening on a specific network port, recording each incoming connection, and logging details such as the intruder’s IP address, timestamp, and input commands into a text file named honey.txt. Using the prototyping methodology, the system was built and tested within a controlled local
environment using Telnet and Nmap to simulate intrusion attempts. The results confirmed that the honeypot could efficiently detect connections, capture relevant data, and operate smoothly with minimal resource use. Overall, this project shows that lightweight honeypots can provide valuable insights into network security and help raise awareness of potential threats, especially for small organizations and students. Future improvements could include multi-port monitoring, real-time alert features, and database-based log management to enhance system efficiency and scalability.