Update README.md

README.md

@@ -13,7 +13,15 @@ short_description: Bird - recommender
 
 
 # Smart Bird Tracker App 
-This read.me file contains all the plots and visualization that was used and showed during the Assigment 3 workflow.
+For this assignment, I selected the **JotDe/birds** dataset.
+
+*   **Source:** Hugging Face Datasets (https://huggingface.co/datasets/JotDe/birds).
+*   **Size:** The complete dataset contains 11,788 bird images, divided into train and test splits. *(Note: For the computational steps like embeddings and clustering, a balanced subset of 3,000 images was used to preserve structure while remaining computationally efficient).*
+*   **Features:** The dataset provides visual and textual data, making it ideal for multi-modal embeddings. The key features include:
+    *   **image**: The visual data (PIL Image object).
+    *   **label**: An integer ID representing the bird species (there are 200 distinct species, such as Yellow-breasted Chat, Albatross, etc.).
+    *   **description**: A textual description detailing the visual characteristics of the bird.
+* **The goal:** To build a smart bird tracker app that understands Hebrew English and Spanish, that the user can put any bird type that he want (like: Blue bird), and the app will find him the 3 top matches to his search with a visiual and the race type of the specfic bird.
 # EDA
 ### Visual Data Inspection:
 We are using the matplotlib library to render the actual visual