A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm
A smart fashion web app built with Python (Flask) that recommends personalized outfits based on user profiling and AI analysis. It includes features like real-time virtual try-on with OOTDiffusion, skin tone & demographic detection using DeepFace, and outfit recommendations powered by TensorFlow, Gemini API, and PyTorch.
A deep learning-based fashion recommendation model
Fashion Product Recommendation System : This project is a Fashion Product Recommendation System that utilizes ResNet50 for feature extraction. The system takes a query image and suggests the most visually similar fashion products from a dataset of 44,400 images.
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