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- ---
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- title: VEN - AI Restaurant Matchmaker
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- emoji: πŸ”
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- colorFrom: blue
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- colorTo: indigo
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- sdk: gradio
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- sdk_version: 5.0.0
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- app_file: app.py
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- pinned: false
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- license: mit
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- ---
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  # πŸ” VEN: Semantic Restaurant Discovery System
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  **VEN** is an AI-powered recommendation engine designed to find the perfect restaurant in Tel Aviv based on user context, vibe, and specific preferences.
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- Unlike traditional filters (e.g., "Italian", "$$"), VEN uses **Semantic Search** and **Persona Matching** to understand the *intent* behind the search (e.g., "A romantic quiet place for a date" vs. "Lively place for drinks with friends").
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- ## πŸ“Έ Interface Preview
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-
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- ![Main Interface](WhatsApp%20Image%202026-01-19%20at%2022.28.58.jpeg)
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- *(The VEN interface features a clean dark-mode design with smart filtering)*
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  ## πŸš€ Key Features
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  ## πŸ› οΈ Tech Stack
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- * **Python 3.10+**
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  * **Gradio:** For the web interface.
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  * **Sentence-Transformers (`all-mpnet-base-v2`):** For generating high-quality text embeddings.
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  * **Scikit-Learn:** For calculating Cosine Similarity between user input and reviewer profiles.
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  * **Pandas & NumPy:** For data manipulation and vector operations.
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- ## πŸ–ΌοΈ More Screenshots
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-
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- | Recommendation Card | Filter Settings | Search Results |
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- |:-------------------:|:---------------:|:--------------:|
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- | ![Card](WhatsApp%20Image%202026-01-19%20at%2022.28.46.jpeg) | ![Filters](WhatsApp%20Image%202026-01-19%20at%2022.28.34%20(1).jpeg) | ![Results](WhatsApp%20Image%202026-01-19%20at%2022.28.22%20(1).jpeg) |
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  ## 🧠 How It Works
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  4. **Similarity Search:** It calculates the **Cosine Similarity** to find the closest match.
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  5. **Ranking:** The system ranks restaurants within that Persona cluster and returns the highest-rated match with a relevant review.
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  ## πŸ‘₯ Authors
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  * **Matan** - Data Scientist & Developer
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  * **Gal** - Data Scientist & Developer
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- ---
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- *Created as a final project for the Data Analysis Course.*
 
 
 
 
 
 
 
 
 
 
 
 
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  # πŸ” VEN: Semantic Restaurant Discovery System
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  **VEN** is an AI-powered recommendation engine designed to find the perfect restaurant in Tel Aviv based on user context, vibe, and specific preferences.
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+ Unlike traditional filters (e.g., "Italian", "Thai"), VEN uses **Semantic Search** and **Persona Matching** to understand the *intent* behind the search (e.g., "A romantic quiet place for a date" vs. "Lively place for drinks with friends").
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  ## πŸš€ Key Features
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  ## πŸ› οΈ Tech Stack
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+ * **Python**
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  * **Gradio:** For the web interface.
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  * **Sentence-Transformers (`all-mpnet-base-v2`):** For generating high-quality text embeddings.
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  * **Scikit-Learn:** For calculating Cosine Similarity between user input and reviewer profiles.
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  * **Pandas & NumPy:** For data manipulation and vector operations.
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  ## 🧠 How It Works
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  4. **Similarity Search:** It calculates the **Cosine Similarity** to find the closest match.
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  5. **Ranking:** The system ranks restaurants within that Persona cluster and returns the highest-rated match with a relevant review.
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+ ## πŸ–ΌοΈ More Screenshots
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+
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+ | Recommendation Card | Filter Settings | Search Results |
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+ |:-------------------:|:---------------:|:--------------:|
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+ | ![Card](WhatsApp%20Image%202026-01-19%20at%2022.28.46.jpeg) | ![Filters](WhatsApp%20Image%202026-01-19%20at%2022.28.34%20(1).jpeg) | ![Results](WhatsApp%20Image%202026-01-19%20at%2022.28.22%20(1).jpeg) | ![Main Interface](WhatsApp%20Image%202026-01-19%20at%2022.28.58.jpeg)
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+ ![Main Interface](WhatsApp%20Image%202026-01-19%20at%2022.28.58.jpeg)
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+
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  ## πŸ‘₯ Authors
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  * **Matan** - Data Scientist & Developer
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  * **Gal** - Data Scientist & Developer
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