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Comprehensive AI-Driven Interior Design Application for Home Makeover and Renovation
  1. case
  2. Comprehensive AI-Driven Interior Design Application for Home Makeover and Renovation

Comprehensive AI-Driven Interior Design Application for Home Makeover and Renovation

artkai.io
Construction
Real estate
Home Services

Identifying Key Challenges in Modern Interior Design and Home Renovation Processes

The client faces difficulties in providing accessible, efficient, and personalized interior design solutions to a broad user base, including both professional designers and homeowners. Existing methods are time-consuming, lack customization, and do not leverage advanced AI capabilities, resulting in limited customer satisfaction and competitive edge in the industry.

About the Client

A mid-sized company specializing in property renovation and interior redesign services aiming to enhance customer engagement through innovative digital solutions.

Goals for Developing an AI-Powered Interior Design Platform

  • Develop a feature-rich, AI-powered application enabling users to redesign rooms, select and purchase furniture within their budget, and find relevant construction teams.
  • Create an intuitive multi-platform experience, including web and mobile applications, to reach a diverse user base.
  • Implement AI algorithms that analyze user preferences, trends, and spatial constraints to suggest optimal design options.
  • Build a comprehensive database that includes design styles, shopping venues, and local contractors to facilitate end-to-end home redesign processes.
  • Achieve rapid development with a target to deliver a minimum viable product within 4 months, followed by iterative enhancement based on user feedback.

Core Functional Capabilities for the Interior Design Solution

  • Room space scanning via mobile app to create accurate floor plans
  • AI-driven design style and furniture suggestions based on user preferences and budget constraints
  • Interactive style quiz to capture user tastes and influence design recommendations
  • Virtual room visualization and immersive 360-degree tours
  • Extensive AI-generated design library featuring various styles
  • Option for users to upload room photographs for AI-based room clearance and redecorating
  • Integration with local stores and contractors for furniture procurement and renovation services

Technology Stack and Architectural Guidelines for the Project

Microservices architecture utilizing Node.js/Nest.js for backend services
AI development leveraging Python for algorithm processing
React.js with Next.js for web frontend development
React Native for cross-platform mobile application development (iOS & Android)
AWS cloud services including AWS Lambda, S3, RDS, and Elastic Kubernetes Service (EKS)

Essential External System Integrations for Seamless User Experience

  • Third-party eCommerce platforms and furniture retailers for real-time product data
  • Local contractor databases for home renovation services
  • Mapping and spatial recognition APIs for room scanning
  • Payment gateways for secure transaction processing

Performance, Security, Scalability, and Reliability Expectations

  • System scalability to support increasing user base with minimal latency
  • Response times under 2 seconds for core functionalities
  • Secure data handling, including user preferences and payment details, complying with industry standards
  • High availability architecture to ensure 99.9% uptime
  • Mobile and web platforms optimized for user experience and accessibility

Projected Business Benefits and Growth Outcomes

The platform is expected to facilitate rapid user onboarding, with the goal of increasing user engagement through AI-driven personalized design recommendations. The solution aims to reduce time-to-redesign by up to 50%, enhance customer satisfaction by providing customized design options, and expand market reach by integrating shopping and contracting functionalities, ultimately driving revenue growth and establishing a competitive advantage in the home renovation industry.

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