FACULTY OF PHYSICAL SCIENCE

Chat bots typically provide a text-based user interface, allowing the user to type commands and receive text as well as text to speech response. Chat bots are usually stateful services, remembering previous commands in order to provide functionality. When chat bot technology is integrated with popular web services it can be utilized securely by an even larger audience. The college enquiry chat bot will be built using artificial algorithms that analyses user’s queries and understand user’s message. This project involves using an artificial conversational entity (chatbot) to ask questions about college and receive responses. This System is a web application that answers the student's question. Students simply need to ask questions through the chatbot. Students can chat in any format; the user does not have to follow a particular format. The student can stay informed about college activities thanks to this system. This proposed chatbot is developed using the Google Dialog flow framework. Dialog flow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into mobile app, web application, device, bot, and interactive voice response system.

This research focuses on the design and implementation of an intelligent chatbot course adviser system for the Department of Computer Science at the University of Benin. The study addresses the limitations of traditional manual course advisor methods by leveraging artificial intelligence, machine learning, and natural language processing technologies to create an automated, efficient, and user-friendly academic guidance system. The research employed a mixed-method approach, combining qualitative and quantitative data collection techniques to ensure comprehensive system development. The study included surveys of students and academic staff, analysis of existing course adviser processes, and systematic evaluation of technological requirements. The implementation phase involved developing an intelligent chatbot system with advanced features including 24/7 availability, personalized course recommendations, real-time prerequisite verification, and automated academic progress tracking. Results demonstrate significant improvements in academic adviser services, with the chatbot system providing immediate, accurate, and consistent course guidance. The system successfully reduced administrative workload, minimized advisory errors, and enhanced student access to academic support. User acceptance testing showed high satisfaction rates among students and staff, validating the system's effectiveness in addressing traditional advisory challenges. The research contributes to the growing body of knowledge in educational technology and provides a practical framework for implementing AI-driven academic support systems. The findings suggest that intelligent chatbot systems can significantly enhance academic adviser services, offering potential applications across various educational institutions. Recommendations for future development and system optimization are provided based on the research
outcomes.

Thin films of Strontium iodide (SrI2) were successfully deposited on glass slides at a temperature of 50°C in a chemical bath for 7½ hours, using improved solution growth technique (SGT) in different molar concentrations ranging from 0.03M. 0.06M, 0.09M, 0.12M and 0.15M. A Double beam spectrophotometer was used to obtain the spectra absorbance data while the other properties were calculated using the theory. The average optical and solid state properties include Absorbance (A)=0.149-0.541 Reflectance (R)- 0.141-0.203, Transmittance (T)=0.288-0.710, Absorbing Power (a)=0.342- 1.25, Refractive Index (n)=2.20-2.64. Film Thickness (0=0.937-0.972, and Band Gap (Eg)-3.318-3.419. While the Strontium thin films can be used as antireflection coatings, it is observed that thin films with refractive index greater than 1.9 can be used as Construction of Poultry house, solar cells, etc. The deposited thin films have band gap within light energy range from 1.5-3.0 eV of the electromagnetic spectrum and could be useful for applications in solar electricity for rural electrification which improves the standard of living. telecommunication

Breast cancer stays one of the maximum standard and life-threatening illnesses affecting girls globally. Accurate and early diagnosis is critical for effective treatment and improved survival rates. This project explores the application of an Artificial Neuro-Fuzzy Inference System (ANFIS) for the classification of breast cancer. ANFIS combines the learning capabilities of neural networks with the reasoning capabilities of fuzzy logic, creating a hybrid model that can handle the complexities and uncertainties inherent in medical data. The research involves the collection and preprocessing of breast cancer datasets, followed by the design and implementation of an ANFIS model. The model is trained using a portion of the dataset and tested on the remaining data to evaluate its classification performance. Key performance metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve are used to assess the effectiveness of the ANFIS model. Preliminary results indicate that the ANFIS model demonstrates promising accuracy in distinguishing between benign and malignant breast tumors. The adaptive learning process of the ANFIS allows for continuous improvement and adjustment of the model, enhancing its diagnostic capabilities over time. This study highlights the potential of ANFIS as a reliable and efficient tool for breast cancer classification, contributing to the advancement of artificial intelligence applications in medical diagnostic

This project, Product Expiry Alert Management System helps to improve the work efficiency of supermarket by providing daily, weekly or monthly expiry alerts of products. It also provides the basic information maintenance function of employees, memberships and products so that managers can through the function to add, delete, and modify the basic information of employees and the employees can through it to add, modify and delete the basic information of memberships and goods. It also tend to solve the problem of expired goods whereby notifying/alert supermarket managers when product is about to expire. Products expiry management system is very convenient for manage, input, output, and find the data so as to make the messy supermarket data to specific, visualizations, rationalization.

In a time of swift advancement in technology and pervasive digital connectivity, the terrain of commerce and interpersonal communication has experienced significant metamorphoses. In order to prepare readers for an examination of the complex factors influencing modern practices within the University of Benin community, this chapter offers a contextual overview of the rapidly changing digital ecosystem.

An inverter is an electronic device use to convert direct current (DC) to an alternating current (AC). The alternating current can be set at a required voltage and frequency, which depends totally on the transformer, control circuit (chipset) and switching use during the time of production. An inverter is essentially a household device that convert power stored in a battery, windmill, solar panel to power every household appliance within it load capacity. That is to say, it supplies AC power from a DC source. Solid state inverter does not have any moving part like motor and areused in wide range of applications, from small switching power supplies in computers to heavy electric utility high voltage DC applications that transport large amount of power. Also, an inverter performs the opposite function of a rectifier. When designing an inverter, there is one thing you want to be cautious of, which is; what appliances am I using with the inverter. After Designing, the circuit was divided into four stages which are the; Drivers stage, Buffering stage, Oscillation and the Output stage. All these stages put together make up a whole inverter

The computerized child abuse database management system is a project proposed to create awareness among the masses on the issues related to child abuse. The computerized system will keep track of all the suspicious incidents of child abuse by generating reports, and aid law enforcement agencies based on numerous details. Implementing this computerized system will play a crucial role in child welfare. The management system and data collection tools will meet the Federal reporting requirements, it will also serve the information needs of organizations, help inform management decisions, and support caseworkers' interactions with children, youth, and families

Cases of dental and skeletal fluorosis have been reported in children especially in low income earning countries and this has been a major problem as documented in recent studies. Clay is an adsorbent material that is cheap and readily available relative to other industrially synthesized adsorbents and its properties has been explored by recent researchers. This study aims at assessing the adsorptive properties of raw and modified edible clay on fluoride from solution. The effect of concentration, adsorbent
dosage, and time and isotherm studies were conducted using standard procedures documented in literatures. From the result, activated edible clay had the highest percentage removal at 15 minutes with a value of 95.37%, 96.74% at a concentration of 50mg/L of fluoride, and 96.92% at an adsorbent dosage of 1.3g. The raw edible clay showed maximum adsorption at 25 minutes, at maximum concentration of 30mg/L fluoride, and at a dosage of 1.3g with values of 93.98%, 96.63%, and 96.34% respectively. The adsorption does not follow a monolayer coverage as the data could not fit into the Langmuir and Freundlich’s isotherms. These values indicate that the raw and oxalic acid modified clay are good adsorbents for the removal of fluoride from solution.

Electronic Commerce (E-Commerce) is growing rapidly in worldwide marketplace nowadays and it has tremendous potential to drive the technology growth in the future. Along with the continuous development of the E-commerce, it can be connected, anywhere, anytime via e- mobile with wireless service. In spite of the challenging economy, the use of e-channel platforms –Internet banking, Mobile Banking, ATM, POS, Web, etc. has continued to experience significant growth. According to NIBSS 2015 annual fraud report, transaction volume and value grew by 43.36% and 11.57% respectively, compared to 2014. Although e-fraud rate in terms of value reduced by 63% in 2015, due, in part, to the introduction of BVN and improved collaboration among banks via the fraud desks; the total fraud volume increased significantly by 683% in 2015 compared to 2014.