This project explores how artificial intelligence can make personalized interior design more accessible, particularly for users who may not know how to describe their preferred style. The team developed an AI-powered renovation system that begins with a photo of a user’s existing room and recommends professionally designed spaces as visual inspiration. After the user selects a preferred direction, the system combines the original room, reference image, and user preferences to create a personalized renovation plan and generate a redesigned version of the space. Users can then continue refining the design through conversational requests, allowing the AI to update the room based on their feedback. By addressing the “visual cold-start” problem, the project demonstrates how multimodal and generative AI can transform visual preferences into personalized, iterative home design recommendations.
Watch the team present this project at 02:19:58 in the session recording here.
Here is a link to their GitHub to learn more.
Keywords: Generative AI, Multimodal AI, Recommendation Systems, Agentic AI, Computer Vision, LoRA Fine-Tuning, Interior Design
Faculty Advisor
Nick Kadochnikov is an Adjunct Associate Professor at University of Chicago Data Science Institute as well as head of Artificial Intelligence and Advanced Technology group at Harbor Global, where he is at the forefront of creating cutting-edge Generative AI tools and advanced tech solutions. These innovative capabilities assist law firms and corporate legal teams in enhancing their service quality, making legal processes more streamlined, accessible, and requiring less manual effort.
Before joining Harbor, Nick served as a Director of AI at William Blair, where he oversaw the development of advanced AI/ML capabilities and intelligent workflows to transform Investment Banking processes. Prior to that, Nick dedicated 20 years at IBM, successfully crafting AI solutions for a wide range of enterprise functions such as supply-chain, sales, marketing, finance, procurement, and legal. In his final role at IBM Watson Health Consulting, his main focus was on utilizing AI to address healthcare challenges, enhancing patient outcomes, elevating population health, and optimizing the efficiency of clinical trials.