PicQuest - Image Recognition Chatbot
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.
Authors
- Ajitkumar Khachane
- Tejas Patil (ORCID: https://orcid.org/0009-0008-8073-9943)
- Sarvesh Pansare
- Sahil Ukarde
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.38124/ijisrt/25apr848
- Primary Topic
- Information Retrieval and Data Mining
- Type
- article
- Field-Weighted Citation Impact
- 0.00