A growing number of businesses stand to benefit from chatbots and other virtual assistant bots made possible by advances in artificial intelligence (AI) and machine learning (ML). With a focus on mutual fund investing, this project aims to investigate the potential of contextually-driven chatbots that employ AI and ML approaches to improve user interactions. The purpose of this article is to provide a framework for a chatbot that can automatically gather client data and provide automated, individualized investing advice in the absence of human advisors. To guarantee that customers get individualized responses, the chatbot use domain-specific training models to provide information that is accurate, relevant, and timely. The algorithm helps traders by assessing market movements and providing recommendations for when and which stocks to buy. This study proposes a novel approach to mutual fund investing using conversational AI, which may streamline procedures, increase accessibility, and aid individual investors in making informed decisions. The results show that AI-powered solutions have a lot of promise for providing round-the-clock support, helping users make smart financial decisions with less human interaction.