How can I keep the accuracy of my custom vision AI once exported as a TensorFlow lite model?

Hello! I’ve created a custom vision project to analyze images of pottery sherds. I have three tags, with each tag associated with about 325 photos. I made an Android application on Android Studios that uses the exported TensorFlow lite model integrated with Java. When tested, the trained model works well on the custom vision website, but the accuracy is significantly worse on the Android app. I am using the same testing images. I used the metadata properties file provided when exporting to match my image preprocessing method as precisely as possible. I’d like to know which direction I should take my troubleshooting next. Any input would be greatly appreciated.