A One-Stop Solution For All Your Interior Designing Hurdles
Transforming 2D floor plans into interactive 3D room models with AI-powered interior design capabilities
Interio is a revolutionary cross-platform mobile application that bridges the gap between imagination and reality in interior design. Unlike existing AR-based applications that rely on unstable live camera feeds, Interio generates persistent 3D room models from 2D floor plans, allowing users to design, customize, and save their interior layouts with complete creative freedom.
Existing Solutions Fall Short:
- ❌ Require holding phone camera steady
- ❌ Only show items in specific areas
- ❌ Cannot save or revisit designs
- ❌ Limited customization options
- ❌ No complete room visualization
- ❌ Difficult UI for non-technical users
Interio Delivers:
- ✅ Stable 3D models from floor plans
- ✅ Complete 360° room visualization
- ✅ Save and reload designs anytime
- ✅ Full color & texture customization
- ✅ Entire infrastructure planning
- ✅ Intuitive, user-friendly interface
📐 2D Floor Plan → 🎨 3D Room Model → 🪑 Furniture Placement → 💾 Design Storage
🔄 Automated 3D Modeling
- Upload hand-drawn or digital blueprints
- AI-powered edge & corner detection
- Automatic wall, door & window recognition
- Accurate dimensional conversion
🎨 Smart Design Studio
- 360° room navigation
- Drag-and-drop furniture placement
- Real-time color customization
- Material & texture modifications
- Complete wall paint options
💾 Design Management
- Save unlimited room designs
- Revisit and modify anytime
- Share designs with clients
- Export final visualizations
- Cloud-based storage
- Object Detection: Automatically identify existing furniture using mobile camera
- Smart Placement Suggestions: AI recommends optimal furniture arrangement
- Edge Detection: 91.6% accuracy using Canny Edge Detection algorithm
- Corner Recognition: 89% accuracy with Shi-Tomasi algorithm
Frontend & UI
3D Engine & Graphics
Backend & Processing
graph LR
A[Flutter Mobile App] --> B[Firebase Auth]
A --> C[Unity 3D Engine]
A --> D[Django API]
D --> E[Image Processing Pipeline]
E --> F[OpenCV + NumPy]
F --> G[Edge Detection]
F --> H[Corner Detection]
F --> I[Room Segmentation]
G --> J[3D Model Generation]
H --> J
I --> J
J --> K[Blender Export]
K --> L[Firebase Storage]
L --> C
C --> A
- 3D Object Models: 300+ items across 6 categories
- Floor Plan Images: 150+ samples (blueprints + hand-drawn)
- Interior Design References: 200+ style images
- Training Duration: 11 months (2 development phases)
📄 Published Papers
|
1️⃣ IJRASET
Volume 11 Issue II "An In-Depth Evaluation of AR-Based Interior Design and Decoration Applications" |
2️⃣ IC2E3 2023 International Conference "Interio: A One-Stop Solution For All Your Interior Designing Hurdles" Computer, Electronics and Electrical Engineering Applications |
3️⃣ ICACCD 2024 Springer Conference "Automated 2D-to-3D Room Modeling and Real-Time Object Placement" Advanced Computing & Design |
- Novel approach to persistent 3D room modeling from 2D plans
- Comparative analysis of edge detection algorithms for floor plans
- User experience study across 75+ participants (consumers, designers, businesses)
- Integration of computer vision with real-time 3D rendering
- Cross-platform mobile solution for interior design democratization
Developed at SIES Graduate School of Technology, Navi Mumbai
|
👨🎓 Nandita Nandakumar
Lead Developer & Researcher ML, Computer Vision & Algorithms |
👨🎓 Nipun Manghi
Core Developer Flutter & Unity Integration |
👨🎓 Saahith Shetty
Core Developer 3D Modeling & Backend |
|
👩🏫 Dr. Deepti Reddy
Project Guide & Mentor Computer Science Department |
||
Special gratitude to:
- Dr. Aparna Bannore - HOD, Computer Engineering Department, SIES GST
- Faculty Members - SIES GST Computer Science Department
- Industry Partners - Interior designers, furniture store owners, and design professionals who provided valuable insights
- Survey Participants - 75+ users across consumer, student, and professional categories
graph TD
A[Splash Screen] --> B[Login/Register]
B --> C[Tutorial for New Users]
C --> D[Home Dashboard]
D --> E[Create New Room]
D --> F[Choose Existing Room]
D --> G[Buy Products]
D --> H[Settings]
E --> I[Upload Floor Plan]
I --> J[API Processing]
J --> K[3D Model Generated]
K --> L[Design Studio]
F --> L
L --> M[Add Furniture]
L --> N[Customize Objects]
L --> O[360° Navigation]
L --> P[Save Design]
P --> Q[Firebase Storage]
G --> R[Browse Categories]
R --> S[Add to Cart]
S --> T[Payment Gateway]
Planned Features
🤖 AI & Machine Learning
- CNN-based style classification (Modern, Royal, Chic, Minimalist)
- YOLO v8 for real-time object detection
- AI design recommendations based on room dimensions
- Automated furniture arrangement optimization
🛒 E-Commerce Integration
- In-app payment gateway (Razorpay/Stripe)
- Partnership with IKEA, Pepperfry, Urban Ladder
- Price comparison across vendors
- Virtual showroom tours
👥 Collaboration Features
- Multi-user design sessions
- Real-time design sharing with clients
- Comment and annotation system
- Version control for designs
🎯 Advanced Visualization
- AR preview mode for on-site visualization
- VR support for immersive walkthroughs
- Lighting simulation (natural & artificial)
- Day/night mode previews
Technical Improvements
- Improve hand-drawn blueprint accuracy to 90%+
- Reduce 3D model generation time by 40%
- Implement progressive loading for large models
- Add offline mode with local caching
- Expand object database to 1000+ items
📩 Request Repository Access
The complete source code for Interio is currently private for intellectual property protection. We welcome collaboration and are open to sharing code for:
✅ Academic Research - Citation and comparative studies
✅ Educational Purposes - Learning and teaching computer vision/3D modeling
✅ Industry Collaboration - Partnership opportunities with interior design companies
✅ Open Source Contribution - After official app launch
Contact for Code Access
| Team Member | Role | |
|---|---|---|
| Nandita Nandakumar | nanditankr1062001@gmail.com | Lead Developer |
What to Include in Your Request
- Your name and affiliation (university/company)
- Purpose of access (research/education/collaboration)
- Specific components of interest (if partial access needed)
- Timeline for your project/research
- How you plan to cite/acknowledge our work
Available Resources (on request via email)
- 📄 Full Thesis Report:
FinalReport_BlackBook.pdf - 📊 Springer Conference Paper: Complete methodology and results
- 📈 Project Presentation: Slide deck with architecture diagrams
- 🎥 Demo Videos: Application walkthrough and feature showcase
Technical Documentation
All technical details including:
- Algorithm pseudocode
- Database schema
- API endpoint specifications
- Unity-Flutter integration methods
- Firebase configuration
- Image processing pipeline
Available in published papers and upon code access.
If you use or reference this work in your research, please cite:
APA Format
Nandakumar, N., Manghi, N., Shetty, S., & Reddy, D. (2023).
An In-Depth Evaluation of AR-Based Interior Design and Decoration Applications.
International Journal for Research in Applied Science and Engineering Technology (IJRASET),
11(2). https://www.ijraset.com/best-journal/an-indepth-evaluation-of-arbased-interior-design-and-decoration-applications
IEEE Format
N. Nandakumar, N. Manghi, S. Shetty, and D. Reddy,
"Automated 2D-to-3D Room Modeling and Real-Time Object Placement:
A Cross-Platform Solution for Interior Design Visualizations,"
in Proc. Int. Conf. Advanced Computing and Communication Design (ICACCD), 2024.
This project is currently under proprietary license. All rights reserved.
For licensing inquiries, please contact the team via the emails provided above.
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