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Optimizing Interior Design Tool With Generative AI Models
Project Summary
The client wanted an automated system utilizing generative AI to generate interior designs from user-provided prompts and room images. It should feature a user-friendly interface, customization options, a diverse design range, efficient visualization, and affordability, serving individual homeowners and professional designers as an innovative, time-saving, and creativity-inspiring tool.
Technical Stack
Industry
Information Technology
Region
United States
Project Size
$8,000-$12,000
Highlights
Generative AI Interior Design Tool
Real-Time Interior Design Predictions
User-Friendly Interface and Customization
Diverse Design Possibilities
Challenges
Implement a feature to add the required interior at a specific location without changing the room structure.
Process the prompt and create an object suitable for the room and its dimensions.
Technical Challenges
Identifying the room's boundaries that work within the existing room structure.
Creating an ETL pipeline to handle live data for real-time interior design predictions.
Reducing the processing time to generate fitting interior designs.
Solutions
We've developed an interactive and centralised web application, empowered by generative AI models, to effortlessly create appealing and fitting interior designs based on user preferences. Our AI developers designed AI models to generate designs for various room types like living rooms, bedrooms, and offices without knowing the prompt engineering; users only need to specify the room category, and the AI system takes care of the rest. These AI models are equipped with continuous learning capabilities even after deployment, ensuring they adapt to real-time scenarios. We've seamlessly integrated all these functionalities and AI models into a highly efficient desktop application.
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