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.