Bloom Skin: An AI-Powered Skincare Analysis System

Abstract

Bloom Skin is an Artificial Intelligence (AI)-powered skin care analysis web application developed to help users detect common skin issues such as acne, dark spots, pimples, and pigmentation through image analysis. The app leverages a pre-trained Mobile Network Version 2 (MobileNetV2) model for accurate and real-time skin condition detection. The goal is to provide users with quick, personalized insights into their skin health and suggest appropriate care tips. The website features a clean, intuitive interface. It is built using modern web technologies such as React JavaScript (React.js) for the frontend, Node JavaScript (Node.js) and Express JavaScript (Express.js) for the backend, and Mongo Database (MongoDB) for secure data storage. Users can upload a clear image of their face, and the app processes the image using the trained model to detect visible skin issues. It then displays the results, along with basic suggestions for care, making it useful for self-assessment and planning a skincare routine. This project demonstrates how computer vision and deep learning can be integrated into real-world applications to support personal healthcare and lifestyle improvement. It also showcases responsive design, fast loading times, and smooth user interaction.