Conversational Image Recognition Chatbot

This article proposes how to build conversational image recognition chatbot in python using CNN and LLM. We are going to see about building a model using CNN (Convolutional neural network), LLM (Large language model) and how to implement those with traditional chatbot models like encoders, NLP (natural language processor) and decoders. This chatbot able to detect image and answer the queries, it is can provide answer for variety of question asked on images and objects and it can also answer the simple open ended questions. It is a model where an AI agent can hold meaningful dialogue with humans in natural language about a visual content, specifically images.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.59544/mhim7020/icrcct24p1
Primary Topic
Advanced Technology in Applications
Type
article
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article

Conversational Image Recognition Chatbot

Krishna Kumar S., R. Vijaya Kumar Reddy, Ananya R Melagiri, S Vijayaraman
Advanced Technology in Applications
article

Conversational Image Recognition Chatbot

Krishna Kumar S., R. Vijaya Kumar Reddy, Ananya R Melagiri, S Vijayaraman
article en

Abstract

This article proposes how to build conversational image recognition chatbot in python using CNN and LLM. We are going to see about building a model using CNN (Convolutional neural network), LLM (Large language model) and how to implement those with traditional chatbot models like encoders, NLP (natural language processor) and decoders. This chatbot able to detect image and answer the queries, it is can provide answer for variety of question asked on images and objects and it can also answer the simple open ended questions. It is a model where an AI agent can hold meaningful dialogue with humans in natural language about a visual content, specifically images.

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Advanced Technology in Applications
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Conversational Image Recognition Chatbot — Krishna Kumar S., R. Vijaya Kumar Reddy, et al. · (2024) | TGRS Research Map | TGRS