A.O.EGWALI

COMPARATIVE STUDY OF AI POWERED CHATBOTS

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Abstract
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.
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co-supervisor

A PROPOSED MODEL FOR FIFA MATCH STRATEGIES

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upload
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Abstract
The beautiful game of football, as it is commonly called is the number one activity that has the undoubted ability to bring together all races and colors of mankind together in one common language. Yet, during the game in itself, it is possible to have the most divergent of opinions as to the perhaps objective or subjective views which the spectators have and a real so entitled to. So, the true essence of football has always focused on outscoring your opponents on the field of play and get the maximum three point or draw, get one point. To a large extent, this is the norm and thus far has been a mainstay in all football tournaments. But, in cases where an opposing team loses a match just by a minute difference due to perhaps the most basic human factors such as; momentary loss of concentration, poor officiating from the match official or as it may be in today’s world, V.A.R, e.t.c. and they feel aggrieved that for all their dominance, yet there is nothing to show for it. So, this project is aimed at not taking away the essence of football which very much is still scoring goals, but to ensure competitive fairness and encourage strategic depth displayed by football team who may have been considered underdogs prior games, by creating a point allocation system which rewards the finer details of the game so often neglected, thereby granting the teams and all football stakeholdersgreater excitement.
Supervisor(s)
co-supervisor