SkinMatch: AI-Enhanced Product Recommender

Skin conditions affect millions worldwide, making personalized skincare recommendations essential for effective treatment and care. This work introduces SkinMatch, an AI- enhanced product recommender that leverages EfficientNet, a state-of-the-art Convolutional Neural Network (CNN), to classify skin conditions accurately. The system employs TensorFlow 2.x or PyTorch for deep learning, OpenCV for image processing, and a Flask-based web framework for seamless user interaction. By integrating computer vision with a robust recommendation system, SkinMatch analyzes user-uploaded facial images, detects skin conditions, and suggests suitable skincare products such as moisturizers, primers, and serums. SkinMatch aims to bridge the gap between AI-driven dermatological analysis and real-world skincare solutions, offering a scalable and user-friendly platform.