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docs: add links to credit card approval space in use case examples #464

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3 changes: 3 additions & 0 deletions use_case_examples/credit_card_approval_prediction/README.md
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# Encrypted Credit Card Approval Prediction Using Fully Homomorphic Encryption

We have created a [Hugging Face space](https://huggingface.co/spaces/zama-fhe/credit_card_approval_prediction) to predict credit card eligibility while maintaining strict data privacy while data is encrypted end-to-end using [Concrete ML](https://github.com/zama-ai/concrete-ml). More details can be found directly in the app. All development files are available [here](https://huggingface.co/spaces/zama-fhe/credit_card_approval_prediction/tree/main).
2 changes: 1 addition & 1 deletion use_case_examples/image_filtering/README.md
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# Image filtering using FHE

Zama has created a [Hugging Face space](https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering) to apply filters over images homomorphically using the developer-friendly tools in [Concrete](https://github.com/zama-ai/concrete) and [Concrete ML](https://github.com/zama-ai/concrete-ml). This means the data is encrypted both in transit and during processing.
We have created a [Hugging Face space](https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering) to apply filters over images homomorphically using the developer-friendly tools in [Concrete](https://github.com/zama-ai/concrete) and [Concrete ML](https://github.com/zama-ai/concrete-ml). This means the data is encrypted both in transit and during processing.

A [tutorial](https://www.zama.ai/post/encrypted-image-filtering-using-homomorphic-encryption) has also been published alongside. It describes the few steps needed for replicating such a demo and be able to experiment with new customizable filters. All development files are available [here](https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering/tree/main).
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