1Dr. P. Harini, 2M. Triveni, 3M. Hema Srivalli, 4N. Sudheer Vali 03 07 This project presents a Conversational Image Recognition Chatbot that integrates Artificial Intelligence Computer Vision and VisionLanguage Models to provide intelligent image analysis through natural language conversations The system enables users to upload an image and interact with it by asking questions about its contents such as identifying objects describing scenes extracting text and understanding contextual relationships It ensures accurate and realtime image understanding by leveraging advanced deep learning techniques and multimodal AI models Unlike traditional image recognition systems that only classify objects or generate static captions the proposed system supports interactive contextaware conversations allowing users to ask followup questions and receive detailed responses Conventional image recognition applications often lack conversational capabilities contextual reasoning and personalised interaction making them less effective for complex visual understanding tasks There is a need for an intelligent userfriendly and costeffective image recognition system that combines computer vision with conversational artificial intelligence to deliver accurate explainable and humanlike responses The proposed chatbot addresses these limitations by providing an efficient and scalable solution suitable for applications in education healthcare tourism accessibility customer support and smart digital assistants Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026