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This project is an image search engine designed specifically for e-commerce websites, offering an unparalleled user experience. Imagine the convenience of simply describing the product or clothing item you're looking for in a search bar, and instantly receiving relevant results. Our solution leverages FastAPI and React.js as the primary frameworks, alongside PostgreSQL integrated with pgvector for efficient vector-based search capabilities. Plus, we used the advanced RAG architecture and our source of images is from kaggle public database.
Project Name
VisuaFind: AI-Powered Image Search for E-Commerce
Description
This project is an image search engine designed specifically for e-commerce websites, offering an unparalleled user experience. Imagine the convenience of simply describing the product or clothing item you're looking for in a search bar, and instantly receiving relevant results. Our solution leverages FastAPI and React.js as the primary frameworks, alongside PostgreSQL integrated with pgvector for efficient vector-based search capabilities. Plus, we used the advanced RAG architecture and our source of images is from kaggle public database.
Technology & Languages
Project Repository URL
https://github.com/TNAHOM/Image-Search-Engine
Deployed Endpoint URL
No response
Project Video
https://drive.google.com/drive/folders/1xnrlcy-p88D4apVxjOTHFNBSXailxxc7?usp=sharing
Team Members
https://github.com/TNAHOM, https://github.com/temesgen5335
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