AN INTELLIGENT SYSTEM FOR RECOMMENDING HAIRSTYLES BASED ON FACE SHAPE: A COMPUTER VISION AND DEEP LEARNING APPROACH
Keywords:
computer vision, face shape detection, MobileNetV2, TFLite, Flutter, generative AI, hairstyle recommendation system, MediaPipe, Dlib, anthropometric landmarks.Abstract
This article presents the development of an intelligent software system that automatically recommends suitable hairstyle options by analyzing a user's facial image using computer vision technologies. The face shape classification model is built on MobileNetV2 and TensorFlow Lite architectures, while anthropometric facial parameters are determined via MediaPipe and Dlib libraries. The application, developed in Flutter, is integrated with generative AI (Replicate API) to provide personalized hairstyle recommendations. A comparative analysis demonstrates that the proposed solution outperforms existing applications — YouCam Makeup and L'Oreal Style My Hair — in terms of local face detection, data privacy, and generative AI-based realism.
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