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You can now create a fashion recommender system. For building the model, you can use Jupyter Notebook, MATLAB, or Google Colab. Instead of using scikit-learn, you can utilize the Annoy library to enhance the recommendation process and save the model as a .pkl file.

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You can now create a fashion recommender system. For building the model, you can use Jupyter Notebook, MATLAB, or Google Colab. Instead of using scikit-learn, you can utilize the Annoy library to enhance the recommendation process and save the model as a .pkl file. you can also optimize by annoy and deploay it t AWS S3 by deploying data images in there . created by Chulindra Rai

demo here :

Screenshot 2025-01-28 112650

upload preferencxe cloth and you will get related fashion clothes

Screenshot 2025-01-28 112658

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You can now create a fashion recommender system. For building the model, you can use Jupyter Notebook, MATLAB, or Google Colab. Instead of using scikit-learn, you can utilize the Annoy library to enhance the recommendation process and save the model as a .pkl file.

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