Chatbots have become essential tools in the current digital era, especially in recommendation systems where they function as virtual assistants providing users with tailored advice and ideas. However, there are few issues with current chatbot frameworks, including poor user interface designs, imprecise emotion identification, and insufficient tools for ongoing development. this study explores the smooth integration of recommendation systems within chatbots. This work shows how effective chatbots may be in providing personalized recommendations by utilizing machine learning techniques.