Conventional Image Recognition Chatbot

DOI

10.2991/978-94-6463-738-0_80How to use a DOI?

Keywords

Image ambiguity; conversational adaptability; Natural Language Processing; Convolutional Neural Networks; Computer Vision

Abstract

The integration of artificial intelligence (AI) into human-computer interaction has revolutionized various fields by enabling seamless interaction between users and machines. This research aims to design a standard image recognition chatbot that leverages the synergy of Computer Vision (CV) and Natural Language Processing (NLP) to offer a user-friendly and multimodal interaction experience.The system leverages Convolutional Neural Networks (CNNs) for image analysis and transformer-based models like GPT for textual dialogue generation. Employing a Late Fusion encoder, the chatbot processes visual and textual inputs independently before merging them for contextual response generation. Advanced techniques such as attention mechanisms, multimodal embeddings, and optimization strategies were implemented to ensure high performance. Key metrics such as BLEU, METEOR, and user engagement rates were used to evaluate system performance. Results demonstrate its potential in fields such as e-commerce, education, and healthcare by significantly enhancing accessibility and efficiency. Future developments aim to address computational constraints and scalability while expanding domain-specific capabilities. This paper outlines the methodology, challenges, and potential applications of such hybrid AI systems, underscoring their ability to bridge the gap between vision and language for impactful real-world solutions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Poonam Gupta
AU  - Sayantan Maity
AU  - Utkarsh Gupta
PY  - 2025
DA  - 2025/06/22
TI  - Conventional Image Recognition Chatbot
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 1044
EP  - 1056
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_80
DO  - 10.2991/978-94-6463-738-0_80
ID  - Gupta2025
ER  -