The mango-skin project is an innovative AI-powered mobile application designed to revolutionize skincare analysis and recommendations. Developed for both Android and iOS platforms, the app leverages advanced AI technologies to provide users with personalized insights into their skin health, actionable recommendations, and progress tracking.
This document outlines the system requirements for mango-skin, ensuring clarity and alignment with the project's goals. Munna Shah, based in Nepal, envisions this platform as a scalable beauty-tech solution tailored for global users.
The mango-skin application is a mobile-first solution built using React Native with Expo. It integrates AI-driven skin analysis, a smart recommendation system, and progress tracking features to empower users in managing their skincare routines effectively.
Key functionalities include:
The app is designed to adhere to strict data privacy standards, ensuring user trust and compliance with global regulations.
The homepage will feature a living watercolor background that subtly morphs colors based on the time of day. For example:
When users scan their face, the watercolor background ripples outward in response to their interaction, creating a dynamic and immersive experience.
The scan interface will include:
Micro-interactions:
This design ensures the app feels alive and engaging, leaving a lasting impression on users.
No completed page designs yet.
Completed design pages will appear here when they are ready to preview.
No user flows yet.
The User Flow Agent will generate per-persona navigation diagrams after SRD updates.
No completed page designs yet.
Completed design pages will appear here when they are ready to preview.
No user flows yet.
The User Flow Agent will generate per-persona navigation diagrams after SRD updates.
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