International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
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ISSN: 2583-6129

Impact Factor: 7.839

AI Interior Designing Chatbot

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  • Create Date 10 October 2025
  • Last Updated 10 October 2025

AI Interior Designing Chatbot

 

 

1st Suryaprabha R

Department of Computer Science

(of Affiliation)

Sri Krishna Arts and Science College

(of Affiliation)

Coimbatore, India

suryaprabhar@skasc.ac.in

 

 

2nd Rakshana G

Department of Computer Science

(of Affiliation)

Sri Krishna Arts and Science College

(of Affiliation)

Coimbatore, India

rakshu117@gmail.com

 

 

ABSTRACT

The AI Interior Designing Chatbot is a clever conversational tool designed to provide personalised design suggestions via organic, engaging interaction. The chatbot can comprehend customer preferences about themes, colours, layouts, and budget by utilising Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML). It can then produce design recommendations that meet these requirements. It acts as a virtual design consultant, bridging the gap between user accessibility and professional expertise.

To deliver design elements that satisfy both practical and aesthetic needs, the system analyses user inputs, determines important preferences, and uses a recommendation engine. Its architecture is based on modules for rule-based reasoning, intent identification, and dialogue management, guaranteeing that the recommendations made are appropriate, workable, and realistic. By offering prompt, reasonably priced, and practical suggestions, the chatbot enhances the interior design process's usability.

This project's primary goal is to provide accessibility to design expertise so that people without technical background knowledge can make well-informed design decisions. In order to improve user interaction and personalisation, future developments might incorporate voice-based input, AR visualisation, and adaptive feedback mechanisms. As a result, this project shows a step towards developing intelligent, user-centred automation in the field of interior design.

Keywords— Artificial Intelligence, Chatbot, Interior Design, NLP, Recommendation System


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