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Development of AI-Powered Interior Design Platform with Cross-Platform Accessibility and Enhanced User Features
  1. case
  2. Development of AI-Powered Interior Design Platform with Cross-Platform Accessibility and Enhanced User Features

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Development of AI-Powered Interior Design Platform with Cross-Platform Accessibility and Enhanced User Features

artkai.io
Information technology
eCommerce
Real estate

Challenges in Traditional Interior Design Processes

Homeowners and professionals face difficulties in visualizing room designs without expertise, budget constraints limit furniture selection options, unreliable contractor networks delay project execution, and lack of integrated platforms creates fragmented user experiences between design creation and implementation.

About the Client

Startup leveraging AI to disrupt traditional interior design processes through digital solutions

Objectives for AI-Powered Interior Design Platform

  • Create adaptive AI algorithm combining design principles with user preferences
  • Develop cross-platform application (web, iOS, Android) with unified UX
  • Establish verified contractor and vendor marketplace
  • Implement interactive 3D visualization tools
  • Build scalable infrastructure supporting real-time design collaboration

Core System Functionalities

  • 2D/3D room planning with AR space scanning
  • Personalized style quiz with budget analysis
  • AI-powered furniture/decor recommendations
  • Interactive virtual room tours with 360° views
  • Dynamic design style library with user-generated content
  • Local contractor matching with review system
  • Integrated e-commerce platform with price comparisons

Technology Stack Requirements

React Native for hybrid mobile apps
Node.js/Nest.js backend with microservices architecture
Python for AI/ML components
AWS cloud infrastructure (Lambda, S3, RDS)
TypeScript with Redux/Next.js for web
MongoDB/PostgreSQL hybrid database

External System Integrations

  • Payment gateway APIs (Stripe/PayPal)
  • AR/VR SDKs (ARKit/ARCore)
  • Third-party furniture retailer APIs
  • Google Maps API for location-based services
  • Social media sharing integrations

System Performance Criteria

  • Support 10,000+ concurrent users during peak times
  • Maintain <2s load time for design visualizations
  • Ensure 99.9% system availability through Kubernetes orchestration
  • Implement GDPR-compliant data protection measures
  • Achieve 95%+ accuracy in AI style recommendations

Anticipated Business Impact

Expected to reduce design project timelines by 60% through AI automation, increase user conversion rates by 40% via personalized recommendations, and capture 15% market share in target regions within 18 months post-launch. The platform aims to become the industry standard for digital interior design solutions by combining advanced AI capabilities with seamless commerce integration.

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