Authors : Ajitkumar Khachane; Tejas Patil; Sarvesh Pansare; Sahil Ukarde

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/4khfs8ra

Scribd : https://tinyurl.com/4brvvrx5

DOI : https://doi.org/10.38124/ijisrt/25apr848

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Abstract : The "Image-Based Chatbot" is an innovative advancement in conversational AI [8] that integrates visual understanding with natural language [3] processing to enhance user interactions. Unlike traditional text-based chatbots, which rely solely on written inputs, this chatbot leverages both images and text to process and generate responses, enabling a more intuitive and dynamic conversation. By incorporating image recognition capabilities, the system can analyze and interpret visual content such as photographs, diagrams, or sketches, allowing for richer, context-aware communication. This dual- modal interaction broadens the chatbot's application across industries such as customer support, e-commerce, education, and healthcare, where visual context plays a crucial role in user queries. This paper discusses the technological framework, potential use cases, and challenges of developing an image-based chatbot [2], offering insights into how it can reshape the landscape of human-computer interaction by providing more engaging, efficient, and versatile experiences.

Keywords : Image-based chatbot, multimodal AI, computer vision, natural language processing, visual recognition, conversational AI, interactive chatbot, image-text integration, AI user interaction, visual content analysis, dynamic communication, machine learning, chatbot applications, AI in customer support, multimodal communication, image understanding.

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