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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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