AI

This project presents a detailed comparative study of six prominent AI-powered chatbots: DeepSeek, ChatGPT, Poe, DeepAI, Jasper, and Rasa. As organizations increasingly integrate chatbot technology to enhance customer service and user engagement, understanding the diverse capabilities of these tools becomes essential. This study aims to systematically evaluate the performance of each chatbot across multiple parameters, including functionality, accuracy, user satisfaction, task completion rates, and cost- effectiveness. To facilitate this comparison, we employ a weighted scoring model that assigns relative importance to each parameter based on organizational needs. This model allows for a nuanced analysis, accommodating the various strengths and weaknesses exhibited by each chatbot. For instance, while ChatGPT is recognized for its versatile conversational abilities and high user satisfaction, DeepSeek excels in specialized information retrieval. Similarly, Jasper focuses on content generation, whereas Rasa offers flexibility for developers in building contextual AI assistants. Data for this study is collected through user surveys, performance testing, and analysis of chatbot logs. The results are presented in a comprehensive format, providing both quantitative scores and qualitative insights. By the end of this project, we aim to deliver actionable recommendations for organizations, guiding them in selecting the most appropriate chatbot solution tailored to their specific requirements. Ultimately, this study contributes to the growing body of knowledge in AI chatbot technology, facilitating informed decision-making in an increasingly competitive digital landscape.

The growing presence of artificial intelligence (AI) in higher education is redefining academic work and learning across Nigeria. This qualitative exploratory study investigates academics’ perceptions and utilization of AI tools within Nigeria’s education sector. Drawing on semi-structured interviews conducted with university faculty, the research explores how AI technologies are being applied in teaching, research, and administrative processes. Results indicate that although AI is viewed as a valuable resource for improving instructional effectiveness, research efficiency, and institutional management, its practical adoption remains limited by inadequate infrastructure, lack of technical competence, and unresolved ethical issues. Participants highlighted both enthusiasm for AI’s potential to enhance academic productivity and concern about its implications for academic integrity and equity. The study recommends strengthening institutional capacity through targeted training, investment in digital infrastructure, and the establishment of ethical and regulatory frameworks to guide responsible AI use. These insights add to the growing body of literature on AI integration in Nigeria tertiary education and its role in shaping the sector’s future.