WebScore AI
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About
WebScore AI uses a neural network trained on a dataset of 12,000 websites, evaluated by professional designers on 125 parameters, and further refined by a focus group. The AI model has since developed 1000 additional high-level features to precisely evaluate website quality. It assesses websites from two perspectives: a webmaster, checking code standards, and a visitor, judging design and readability. The service is suitable for various website types including landing pages, business cards, and online stores. It aims to help website owners understand their site's appeal, assist new developers, provide objective insights for web designers, and offer freelancers an AI-backed endorsement for their portfolio. The project emerged to address the vast number of outdated websites globally, aiming for large-scale, automated updates. WebScore AI is set to integrate with uKit AI, a larger project focused on AI-driven website redesign and updates, where WebScore AI will help select optimal designs.
Platform
Task
Features
• can process landing pages, business cards, and online stores
• provides a website score on a scale from 1 to 10
• ai generates 1000 additional high-level evaluation features
• neural network trained on 12,000 websites and 125 design parameters
• assesses website design and content readability from a visitor's perspective
• checks if page code meets webmaster standards
• evaluates website beauty and quality using ai
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