AI image analyzer for Bucks County Estate Traders in USA

Client Brief

Bucks County Estate Traders specializes in high-end furniture, antiques, and decorative treasures. With a vast 58,000-square-foot showroom, they offer carefully curated pieces, from vintage rugs to fine artwork, catering to collectors, designers, and homeowners. Bucks County Estate Traders approached us to build an AI system to analyze images, identify objects, and extract key details to reduce manual work.

Our Endeavor

The client asked us to develop an AI-powered system that could analyze images, identify objects, and automatically extract key details like name, type, make, and characteristics. The system needed to handle single and multiple images, work with various image types, and improve accuracy over time using advanced techniques.

Our team built a Proof of Concept (POC), a small-scale AI system, using Python, AI, and React JS to test the feasibility of automated image analysis. We trained the model on 1,000+ images, enabling it to scan images and extract key details. The system could process both single and multiple images efficiently. To improve accuracy, we fine-tuned it using different prompts and tested it with various images to ensure reliable and structured outputs. Challenges included misidentifications due to image quality, angles, and lighting. We solved this by training the model on a diverse dataset and refining it with advanced techniques. Another issue was optimizing performance for multiple images, which we improved by enhancing processing logic. Our team built and trained the model, fine-tuned it for accuracy, and tested its performance to ensure precise results. We also optimized processing, managed tasks efficiently, and ensured smooth execution for a successful delivery.

Our solution automates image analysis, reducing manual effort and improving efficiency. It provides the client with accurate, structured data for better decision-making while establishing a strong foundation for future enhancements.

Technology/Platform

Python, ReactJS

Industry:

Consumer Products