- About the Project
Organization Butler is an AI-powered assistant that turns a single room photo into a personalized organization plan. The system analyzes visible clutter in a room and guides users with clear, step-by-step actions to help them organize their space efficiently.
- Inspiration
We noticed that while many people feel overwhelmed by a messy room, they often don’t know where to begin. Existing solutions either give generic cleaning tips or require manual input. We wanted to create something smarter—an assistant that can see the room, understand the mess, and suggest exactly what to do based on the situation.
- How We Built It
The project combines computer vision, backend services, and a conversational interface.
First, we trained an object detection model using images of bedrooms, study rooms, and living rooms. The model identifies common clutter-related items such as clothes, books, cables, bottles, and furniture.
Next, we designed a messiness evaluation logic that considers:
How many clutter-related objects are present
Which types of objects contribute more to mess (for example, scattered clothes create more clutter than furniture)
How spread out the objects are across the room
Based on these factors, the system assigns a messiness level ranging from Clean to Very Messy.
The analysis results are sent to a backend service, which converts them into simple and actionable organization steps. A Flutter-based chat assistant allows users to upload a room image and receive guidance in a friendly, conversational way.
- Challenges
One of the biggest challenges was defining messiness in a way that feels natural to users, since clutter perception is subjective. Collecting and annotating realistic room images was also time-consuming. Additionally, integrating the machine learning pipeline with the backend while maintaining good performance required careful design.
- What We Learned
Through this project, we learned how to build a complete AI-driven system—from data collection and model training to backend integration and user experience design. We also learned the importance of explainable AI, where users can clearly understand why a certain recommendation is given.
- Outcome & Impact
Organization Butler shows how AI can turn everyday problems into intelligent solutions. By analyzing a single photo, the system delivers meaningful insights and practical organization guidance, making room cleanup simpler and more approachable for users.
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