The platform faced challenges with inconsistent visuals, manual review bottlenecks, and mismatched descriptions that undermined user trust and conversion rates.
GoML developed a modular suite of AI APIs using AWS Bedrock, FastAPI, and serverless architecture, including image quality validation, enhancement, detail extraction, and text-image comparison capabilities.
The solution leverages computer vision and LLM models to automate visual validation at scale. Results include 75% reduction in manual review time, 85% decrease in low-quality images, and 60% reduction in description-image mismatches, significantly improving platform credibility.
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