Skinsight
Personalized Skincare Guide
Project Overview
Developed an intelligent skincare recommendation platform using a sophisticated recommendation engine to analyze user profiles and provide personalized product suggestions. Prioritized privacy and data security.
The Challenge
Building a personalization engine that balances accurate recommendations with strict user privacy and an engaging educational experience.
- Creating an accurate recommendation algorithm
- Handling sensitive user data securely
- Designing an intuitive onboarding flow
The Solution
Developed a privacy-first platform using Next.js and TypeScript, featuring a custom recommendation engine and secure data handling.
- ▸Built a multi-factor recommendation algorithm
- ▸Implemented secure data handling with encryption
- ▸Created an engaging onboarding quiz
Key Features
Skin Analysis Quiz
Interactive questionnaire for comprehensive skin profiling.
Smart Recommendations
AI-powered product suggestions based on skin profile.
Technology Stack
Frontend
Backend & APIs
Tools
Results & Impact
Helped thousands of users discover their perfect skincare routine with high engagement rates.
Interested in Working Together?
I'm always open to discussing new projects and opportunities.