Delivered a complete software and cloud infrastructure solution
Enabled real-time tracking of beauty product effects
Supported personalized skincare recommendations
Fostered community engagement and content sharing
Provided data-driven insights to improve product development
The challenge was to build a scalable platform that processes complex user data skin conditions, demographics, and environmental factors to deliver personalized recommendations. This required robust backend, frontend, and AWS infrastructure with custom CI/CD pipelines. Integrating a dynamic community management system added complexity, demanding seamless, reliable performance for over 30,000 users.
The provided solution empowers women to exhaustively record the impacts of beauty products in relation to diagnosed skin conditions (like rosetta, etc.). By considering variables such as age, existing skin conditions, skin type, and geographical factors, the system generates personalized recommendations for addressing issues like dryness or excessive oiliness. With over 30,000 users benefiting from this platform, its data science capabilities extract real-world insights to aid medical companies in refining product development. Notably, a community management tool is integrated, offering features like content creation (text and images) and management, appreciation through likes, and customer-defined profile management, fostering a cohesive and engaged user community.
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