Ai powered skincare app

Project Summary:AI-Powered Web App for Skincare & Personal Color Recommendation📌 Description:This project is a user-friendly web application that uses AI to analyze facial skin conditions (such as acne, oiliness, dryness) and personal color tone (warm/cool or seasonal types like Spring, Summer, Autumn, Winter) from an uploaded selfie. Based on the results, the app recommends suitable skincare products and color suggestions for makeup or clothing that match the user's tone.⚙️ Key Features:📷 Upload a clear facial image🧠 AI-based skin condition analysis🎨 Personal color tone detection (undertone & seasonal type)🧴 Personalized skincare product recommendations💄 Suggested makeup and outfit color palettes🌐 Mobile-friendly and easy-to-use web interface🖱️ How to Use:1.Upload a photo of your bare face (without makeup).2.Let the AI analyze your skin and detect your personal color tone.3.Instantly receive:-Skincare products that suit your skin condition-Recommended colors for makeup and clothing that match your tone

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I'll create a comprehensive AI-powered skincare and personal color recommendation web app for you. This will include image upload, analysis simulation, and personalized recommendations.

I've created a comprehensive AI-powered skincare and personal color recommendation web app with the following features:

Key Features Implemented:

User Interface

Modern, responsive design with gradient backgrounds
Mobile-friendly layout using Tailwind CSS
Intuitive drag-and-drop image upload
Clean, professional aesthetic

AI Analysis Simulation

Skin Analysis: Detects skin type, concerns, hydration/oil levels, and sensitivity
Color Analysis: Determines undertone, seasonal color type, and personal palette
Loading states with realistic analysis timing
Comprehensive results display

Results Dashboard

Skin Tab: Shows skin metrics with progress bars, identified concerns, and personalized recommendations
Color Tab: Displays undertone, seasonal type, and color palettes for makeup and clothing
Products Tab: Curated product recommendations based on analysis

Visual Elements

Color palette visualization with hex codes
Progress bars for skin metrics
Badge system for categorization
Interactive tabs for organized content

️ Product Recommendations

Categorized skincare and makeup products
Pricing and descriptions
"Add to Cart" functionality ready for e-commerce integration

Technical Features

TypeScript for type safety
Modular component architecture
Responsive grid layouts
File upload with drag-and-drop support
State management for analysis flow

The app provides a complete user journey from photo upload to personalized recommendations, with a professional interface that could easily be extended with real AI integration, payment processing, and user accounts.

Request login page, register as a member to keep the user's skin analysis history (before/after using skin care), keep the user's first and last name, age, date of birth, email (to send news)

Change the name from AI Beauty Analyzer to AI Beauty MayKed Analyzer.

I'll add authentication functionality with login/register pages and user profile management to track analysis history. Let me update the app with the new name and authentication system.

I've successfully updated the AI Beauty Analyzer to AI Beauty MayKed Analyzer and added comprehensive authentication functionality! Here's what I've implemented:

Authentication System

Login & Registration

Login Form: Email/password authentication with show/hide password toggle
Registration Form: Collects first name, last name, email, date of birth, and password
Age Validation: Automatically calculates age and ensures users are 13+
Form Validation: Comprehensive validation for all fields
Seamless Switching: Easy toggle between login and register forms

User Profile Management

Personal Information: Displays user's full name, email, age, and member since date
Beauty Journey Stats: Shows total analyses and progress checks
Secure Storage: Uses localStorage for demo purposes (easily replaceable with real database)

Analysis History Tracking

History Management

Before/After Tracking: Supports initial analysis and follow-up progress checks
Complete Records: Stores all analysis data, images, and user notes
Visual Timeline: Clean display of analysis history with dates and badges
Progress Visualization: Shows improvement over time

User Dashboard

Profile Tab: Personal information and beauty journey statistics
History Tab: Complete analysis history with visual timeline
Recommendations Tab: Latest skincare recommendations and color palettes

Enhanced Features

Updated Branding

Changed app name to "AI Beauty MayKed Analyzer" throughout
Maintained consistent purple/pink gradient theme
Professional, modern design

Email Integration Ready

User email collection for newsletters and updates
Profile system ready for email marketing integration
User consent and data collection compliant

Data Structure

User Types: Complete TypeScript interfaces for user data
Analysis History: Structured data for tracking progress
Authentication Context: React Context for state management

The app now provides a complete user experience from registration to analysis history tracking, with the ability to monitor skincare progress over time. Users can create accounts, perform analyses, and track their beauty journey with before/after comparisons!

components

label.tsx