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  # Hindi_Song_Recommender_from_Image
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  This project uses computer vision and machine learning to recommend Hindi songs based on the contents or mood of an image. By analyzing the visual features, color palette, and emotional tone of an uploaded image, the system suggests a suitable Hindi song that matches the detected vibe — such as romantic, sad, energetic, or peaceful.
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  The general idea is to push your Docker image to a container registry (like Docker Hub, GCR, ECR) and then point the hosting service to that image.
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- Remember to manage your API keys and other sensitive information securely, especially when deploying to public platforms. Consider using environment variables or secret management services provided by the cloud platforms.
 
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+ ---
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+ license: creativeml-openrail-m
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+ title: Hindi Song Recommendation
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+ sdk: streamlit
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+ emoji: 💻
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+ colorFrom: green
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+ colorTo: blue
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+ ---
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  # Hindi_Song_Recommender_from_Image
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  This project uses computer vision and machine learning to recommend Hindi songs based on the contents or mood of an image. By analyzing the visual features, color palette, and emotional tone of an uploaded image, the system suggests a suitable Hindi song that matches the detected vibe — such as romantic, sad, energetic, or peaceful.
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  The general idea is to push your Docker image to a container registry (like Docker Hub, GCR, ECR) and then point the hosting service to that image.
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+ Remember to manage your API keys and other sensitive information securely, especially when deploying to public platforms. Consider using environment variables or secret management services provided by the cloud platforms.