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adupuy/seoul-cafe

sourceHugging Faceupdated 3mo agoView on Hugging Face
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App README

Seoul Cafe Recommender

AI-powered cafe recommendation system for Seoul.

Demo

https://huggingface.co/spaces/adupuy/seoul-cafe

Features

  • —Semantic cafe search
  • —Neighborhood filtering
  • —Top-K recommendations
  • —SentenceTransformer embeddings
  • —FAISS vector search

Tech Stack

Python, Pandas, Streamlit, Sentence Transformers, FAISS

How it works

  1. 1.User enters a cafe description
  2. 2.Query is converted to embedding
  3. 3.FAISS retrieves nearest cafes
  4. 4.Results displayed in Streamlit

Example Queries

  • —quiet cafe with good coffee
  • —date cafe in hongdae
  • —aesthetic dessert cafe
  • —work-friendly cafe with wifi

Example: Quiet Cafe Search

[image]

Example: Date Cafe Search

[image]

Future Improvements

  • —Open-now filtering
  • —Price filtering
  • —Cafe images
  • —Larger dataset