Project: VisuaFind: AI-Powered Image Search for E-Commerce

[TNAHOM]

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

• [x] JavaScript
• [ ] Java
• [ ] .NET
• [X] Python
• [ ] AI Studio
• [X] AI Search
• [X] PostgreSQL
• [ ] Cosmos DB
• [ ] Azure SQL

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

[multispark]

Hello @TNAHOM, @temesgen5335, thank you for participating in RAG Hack!

The team is working hard to distribute badges. Please have each team member fill out this form: aka.ms/raghack/badge-dist

Thank you!