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 This project contains examples of using the machine learning APIs provided by Huawei mlkit
 and applications developed based on the machine learning service SDK. The project directory is as follows:
-1. MLKit-Sample: The sample code mainly shows the use of Huawei Machine Learning SDK.
-2. ID-Photo-DIY: It uses still image of people to composite an ID photo with blue background or white background.
-3. Smile-Camera: It uses real-time detection of face to confirm if user is smiling, and then captures a smile photo of the user.
-4. Photo-Translate: It uses still image of text to translate words in the photo into the language you want.
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+1. [MLKit-Sample](https://github.com/HMS-MLKit/HUAWEI-HMS-MLKit-Sample/tree/master/MLKit-Sample): The sample code mainly shows the use of Huawei Machine Learning SDK.
+2. [ID-Photo-DIY](https://github.com/HMS-MLKit/HUAWEI-HMS-MLKit-Sample/tree/master/ID-Photo-DIY): It uses still image of people to composite an ID photo with blue background or white background.
+3. [Smile-Camera](https://github.com/HMS-MLKit/HUAWEI-HMS-MLKit-Sample/tree/master/Smile-Camera): It uses real-time detection of face to confirm if user is smiling, and then captures a smile photo of the user.
+4. [Photo-Translate](https://github.com/HMS-MLKit/HUAWEI-HMS-MLKit-Sample/tree/master/Photo-Translate): It uses still image of text to translate words in the photo into the language you want.
 
 ## Precautions