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AI skin care webapp

  • 1 Devlogs
  • 7 Total hours

AI-powered skin & hair analysis with custom-trained ML models includes personalized routines, progress tracking, and real-time environmental skincare guidance. A rule-based recommendation engine generates personalized morning/night routines with no external AI API dependencies.

Ship #1 Changes requested

machine learning models to assess user conditions, track progress over time, and provide personalized skincare and haircare routines. The system also delivers real-time environmental skincare recommendations through a rule-based engine, eliminating the need for external AI APIs. One of the major challenges was integrating the Go backend with Firebase Cloud Messaging (FCM) to manage notification reminders using user tokens. Additionally, building and coordinating the frontend experience, including user interactions and seamless data flow, was a significant part of the development effort.

  • 1 devlog
  • 7h
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