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Skin Tone Detection and Color Recommendation System

Lakshmi Sharma, Devidas Thosar, Sakshi Nikam, Laxmi Aher, Saif Sayyad

Abstract


This project presents an AI-based skin tone detection and color recommendation system that enhances user personalization in cosmetics and fashion.Using Convolutional Neural Networks (CNNs), the system classifies skin tones from facial images and suggests suitable color palettes for makeup, clothing, and skincare.It ensures inclusivity by considering di- verse skin types and aligning recommendations with dermatological standards.As a future enhancement,aNaturalLanguageProcessing(NLP)-basedchatbotwillbeintegratedtopro- vide real-time, interactive guidance, enabling users to receive personalized beauty advice through conversational interaction, making the system more accessible, user-friendly, and engaging for broader applications.

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References


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