AI-Driven Virtual Interior Design: Project Description Report

Introduction

The home design process often poses significant challenges for homeowners, especially in visualizing how furniture, colors, and décor will look in their spaces before making a purchase. Many struggle with uncertainty and the fear of making costly mistakes, which can lead to dissatisfaction and inefficiencies. Moreover, there is a gap in the market for platforms that consolidate all aspects of home decoration and renovation—from space planning to purchase logistics—into a single, user-friendly tool.

To address this problem, we propose "InHaus," an AI-driven virtual interior design tool powered by augmented reality (AR) and computer vision. This innovative solution empowers users to visualize, customize, and plan their home interiors in a smart, efficient, and enjoyable manner. By incorporating advanced technologies such as recommender systems, AR, and personalized AI algorithms, InHaus aims to revolutionize the interior design process while connecting homeowners with businesses to create tailored design solutions.

Definition of the Problem

Our project tackles the following key issues:

Visualization Challenges: Homeowners often lack tools to effectively visualize how furniture, layouts, and color schemes will appear in their spaces. This leads to uncertainty and prevents informed decision-making.

Costly Mistakes: Poor visualization can result in mismatched purchases and dissatisfaction, creating additional expenses for corrections.

Fragmented Solutions: Existing tools and apps fail to integrate all user needs, such as design visualization, personalized recommendations, and purchase management, into one cohesive platform.

Lack of Customization: Current platforms often lack the ability to provide tailored recommendations that align with user preferences, budgets, and spatial constraints.

By addressing these challenges, InHaus seeks to simplify the interior design process and reduce inefficiencies while providing users with a comprehensive, end-to-end solution.

Definition of the Idea

InHaus is an AI-powered platform that transforms the interior design process by enabling users to:

Scan Rooms with Smartphones: Generate accurate 3D models of their spaces in real-time using augmented reality and computer vision technologies.

Experiment with Design Elements: Explore various furniture pieces, layouts, colors, and textures virtually.

Receive Tailored Style Suggestions: Leverage AI-driven recommender systems to suggest designs that align with user preferences, budgets, and space constraints.

Access Customized Furniture Options: Provide unique and suitable design solutions by recommending furniture and materials based on individual needs.

In addition to AI-powered design features, InHaus offers complementary functionalities to enhance the user experience:

Booking Services: Users can schedule consultations with interior designers, local builders, and suppliers directly through the platform.

Customized Purchase Management: Allow users to specify preferences such as:

Budget: Manage and adhere to financial limits.

Provider Preferences: Choose between local shops and major brands.

Material Selection: Filter options based on durability, sustainability, or aesthetic preferences.

Delivery Timeframes: Align purchases with project timelines.

By integrating these features, InHaus serves as a holistic platform for home design, offering a seamless and efficient user experience.

Objectives

The primary objectives of the InHaus project include:

Enhancing User Experience:

Provide a user-friendly platform for homeowners to visualize interior designs in 3D, minimizing uncertainty and reducing the likelihood of costly mistakes.

Customization and Personalization:

Deliver AI-driven design suggestions tailored to user preferences, budgets, and space constraints.

Integration with Retailers:

Partner with furniture and décor retailers to enable direct in-app purchases of items visualized within the tool.

Streamlining the Design Process:

Simplify space planning and design through advanced AR and AI technologies.

People Involved

The success of InHaus relies on collaboration among various stakeholders:

Homeowners (End Users):

The primary users who will interact with the AI tool to design their living spaces.

Interior Designers:

Professionals can use InHaus to collaborate more effectively with clients, saving time in the design phase.

AI Developers:

Responsible for creating machine learning algorithms that provide personalized style recommendations and analyze space constraints.

AR and Computer Vision Experts:

Develop technologies for room scanning and real-time 3D modeling.

Furniture Retailers and Service Providers:

Collaborate to offer real-time product suggestions, booking services, and in-app purchasing functionalities.

Legal and Compliance Agencies:

Ensure adherence to relevant laws and regulations, including data privacy and transactional compliance.

Project Management Team:

Oversee development, manage resources, and ensure project milestones are achieved on time and within budget.

Prototype

The initial prototype will focus on delivering the following features:

Room Scanning:

Users can scan their rooms using their smartphones to create accurate 3D models.

Basic Furniture Placement:

Experiment with virtual furniture placement within the 3D model.

Color and Texture Simulation:

Visualize different color schemes and textures for walls, floors, and furniture.

Basic Style Recommendations:

Provide simple design suggestions based on user preferences.

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