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Leveraging AWS AI Services for Interior Design Automation at Goodhues Inc

Client

Goodhues Ai

Location

Newark DE

Industry

Interior Design

Services & Tech

Art smart assistant, Image generation tools, Amazon Bedrock, AWS Sagemaker Tags : Ai Recognition, Design Industry, Design Automation, GenAi

Project Overview

Goodhues Inc, a leader in virtual interior design solutions, sought to leverage AWS AI services to generate AI-driven images and mockups for interior decoration, background generation, and other tasks using fine-tuned image generation models on SageMaker. The proposed solution included a combination of AWS services across compute, storage, and machine learning. Avahi, an advanced tier AWS partner, was engaged to help Goodhues Inc on this transformative journey, focusing on developing a smart AI assistant and imagegeneration tools.

The
Problem

Goodhues Inc faced several challenges in developing an AI-driven interior design solution:

  • Complexity of Design Tasks: Generating accurate and aesthetically pleasing interior design images and mockups.
  • Real-Time Processing: Providing near real-time image generation and updates based on user inputs.
  • Data Management: Efficiently managing and processing large volumes of image data.
  • Integration: Seamlessly integrating the AI models with existing systems and workflows.
  • Scalability: Building an infrastructure capable of handling increasing demands and user requests.

Key Deliverables

  • POC Development: Building POCs for high-priority features such as chat with context, paint segmentation, upscaling, and designing an empty room.
  • Real-Time Transcription: Developing a system to generate transcripts from audio recordings of online classes in near real-time.
  • ETL Processes: Performing ETL on raw data to prepare it for model training, storing output text files in Amazon S3 for downstream processing by LLMs.
  • Backend Pipeline Management: Creating an end-to-end pipeline to manage embeddings in all S3 documents on live data.
  • Post-Processing Jobs: Running post-processing jobs based on confidence thresholds selected by Goodhues Inc.
  • Validation: Ensuring accuracy, bias mitigation, and scalability using industry standard tools.
  • Qualitative Review: An analysis report based on manual review to identify common issues and patterns.

Solution

Avahi proposed a comprehensive solution to address these challenges, focusing on developing proof of concepts (POCs) for several high-priority features requested by Goodhues Inc. The project was executed in four phases: Discovery & Planning, Design & Development, Validation & QA, and Executive Presentation & Handoff.

Explore Our Services

We highly recommend Avahi as a reliable and innovative technology partner. Their expertise in cutting-edge technologies was instrumental in building our Proof of Concept (PoC) and developing our Minimum Viable Product (MVP). Avahi consistently delivered high-quality solutions on time while maintaining a collaborative, responsive approach. They went beyond expectations by identifying opportunities for enhancement, ensuring scalability and compliance for our law enforcement-focused products. Avahi is the clear choice if you need a tech partner with industry knowledge, professionalism, and a commitment to innovation.

Brandon Puhlman

Founder, Bravo Foxtrot

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