Conversational Image Recognition Chatbot

Author(s)	Ms. Latha B V, Harshini.A, Kshama NR, Shwetha R
Country	India
Abstract	Conversational image recognition chatbots represent an advanced class of intelligent systems that integrate natural language processing and computer vision to enable interactive understanding of visual content. Unlike traditional image recognition systems that provide static outputs, these systems support multi-turn conversations, contextual reasoning, and dynamic response generation. This research presents a comprehensive study of conversational image recognition models, focusing on architectural design, multimodal learning techniques, and real-world applications. The system combines deep learning-based image processing with transformer-based language models to deliver context-aware responses. It also addresses key challenges such as multimodal alignment, bias, and interpretability. The proposed approach demonstrates improved user engagement and enhanced understanding of visual information, making it suitable for applications in education, healthcare, and assistive technologies.
Keywords	Conversational AI, Image Recognition, Multimodal Learning, NLP, Computer Vision, Vision-Language Models
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-03

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International Journal For Multidisciplinary Research