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PalettePerfection

The objective of PalettePerfection is to create a user-friendly and interactive application that leverages advanced color theory, seasonal analysis, and skin tone detection to provide personalized color palette recommendations. By combining machine learning, data science, and intuitive UI/UX design, the project aims to help users:

  1. Discover Their Unique Palette: Identify skin tone and undertone accurately using AI-powered image analysis and facial landmark detection.

  2. Enhance Personal Style: Offer curated, diverse, and season-specific color palettes tailored to complement the user's natural features.

  3. Make Informed Beauty Choices: Provide personalized makeup recommendations, including foundation, blush, and lipstick shades, aligned with their skin tone and undertone.

  4. Promote Accessibility: Deliver these features seamlessly through an intuitive and accessible web-based platform, ensuring users of all backgrounds can utilize the tool.

  5. Empower Creativity: Enable users to explore and experiment with colors, making confident decisions for makeup, wardrobe, and styling aligned with their individuality.

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