Khachane, Ajitkumar and Patil, Tejas and Pansare, Sarvesh and Ukarde, Sahil (2025) PicQuest - Image Recognition Chatbot. International Journal of Innovative Science and Research Technology, 10 (4): 25apr848. pp. 1090-1096. ISSN 2456-2165
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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.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 25 Apr 2025 12:02 |
Last Modified: | 25 Apr 2025 12:02 |
URI: | https://eprint.ijisrt.org/id/eprint/572 |