Discover Your Perfect Style with AI-Powered Fashion
Style AI is a fashion product search engine powered by AI that enables both text-to-image and image-to-image search capabilities using CLIP for multimodal embeddings, Qdrant for vector storage and queries, and AWS S3 for image hosting; developed FastAPI backend, Dockerized it, and deployed on AWS ECS.
Integrated with AWS S3-hosted frontend via AWS CloudFront, secured API with AWS API Gateway for HTTPS, enabling efficient product recommendations.
Key Features:
Semantic search system for fashion product images using CLIP model for generating image embeddings, Qdrant as the vector database for efficient similarity searches, and AWS S3 for storing image data.
Served the backend API with FastAPI containerized it using Docker, and deployed it on AWS ECS for scalable hosting and integrated the backend with a frontend hosted on AWS S3 and distributed via AWS CloudFront.
Utilized AWS API Gateway to serve the API over HTTPS, enabling secure and efficient end-to-end user queries for image-based product recommendations.
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