An AI-powered skincare recommendation system combining facial attribute prediction with an agentic product research pipeline. It uses FaceNet embeddings and classical ML models for age, gender, and race prediction, Fitzpatrick-based skin-tone estimation, and LLM agents for product research, safety validation, and personalized recommendations.
python machine-learning computer-vision deep-learning multi-agent web-scraping face-recognition recommender-system facenet skincare product-recommendation fastapi huggingface streamlit llm langchain langgraph agentic-ai skin-tone-analysis
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Updated
Aug 16, 2026 - Python