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The client faced three primary challenges: (1) Unacceptably long response times (~40 seconds) in their proof-of-concept chatbot, risking user abandonment; (2) Unstructured knowledge base content from diverse sources (articles, video transcripts) affecting answer accuracy; (3) AI hallucinations threatening the reliability of health-related recommendations.
A fitness tech startup using computer vision and machine learning to provide body composition analysis and health insights via smartphone cameras.
Successful implementation will enable validated MVP for user testing, 95% reduction in response time improving user retention, and establish foundation for data-driven health recommendations that increase app engagement metrics (time spent and usage frequency) while maintaining medical accuracy standards.