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Update README.md

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@@ -50,7 +50,7 @@ This repository contains a synthetic dataset generated for the SmartFit AI proje
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  The data is stored in **Parquet format** (Hugging Face native) for high efficiency and fast loading.
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  ## Repository Contents
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- * **Copy of Final Project.ipynb. (4)**: Colab's notebook
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  * **fitness_embeddings.npy (2)**: Pre-computed vector embeddings of the user profiles (generated via Sentence Transformer).
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  * **imp88.png**: Visualization of the Exploratory Data Analysis (EDA).
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  * **imp888.png**: Visualization of the Embeddings Analysis (PCA Clustering).
 
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  The data is stored in **Parquet format** (Hugging Face native) for high efficiency and fast loading.
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  ## Repository Contents
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+ * **Copy of Final Project.ipynb (4)**: Colab's notebook
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  * **fitness_embeddings.npy (2)**: Pre-computed vector embeddings of the user profiles (generated via Sentence Transformer).
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  * **imp88.png**: Visualization of the Exploratory Data Analysis (EDA).
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  * **imp888.png**: Visualization of the Embeddings Analysis (PCA Clustering).