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Mobile & AIAugust 24, 2026·6 min read

Shipping Vision AI on Android: Lessons from the SkinCare AI Build

Authored by CyberSolu Core Team

When engineering SkinCare AI (com.cybersolu.skincareai), our architectural mandate was unequivocal: cosmetic analysis must be blazing fast, strictly private, and focused purely on wellness and cosmetic ingredient education.

We combined on-device camera capture workflows with Google Gemini Vision AI for multi-parameter cosmetic evaluation (hydration indices, surface texture, pore visibility, and fine line tracking) alongside instant OCR parsing of complex cosmetic ingredient formulas.

User preferences, cosmetic routine checklists, and historic scan scores are persisted securely via Supabase Auth with TLS encryption, ensuring users maintain sovereign control over their data with one-touch web and in-app deletion rights.

In this post, we review the camera stream optimization, prompt schema structuring for cosmetic ingredient chemistry, and the compliance safeguards needed for Google Play Store safety declarations.