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docs: update the plan #4

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19 changes: 10 additions & 9 deletions README.md
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Expand Up @@ -42,15 +42,16 @@
2. using expo(not using used to native-cli), build both of android and ios platform
3. build the ML model with tensorflow

# Focus on

1. using mobile pysical camera feature
2. get photoes and videos from user's library
3. chacing data at assets directory about requirement data to build application (fonts, background image... etc)
4. running tensorflow on mobile device with React Native application
5. tailor data from user library to compactable tensorflow library
6. predict result with tailored image data with tensor model
7. display result data with UI for user
# Including features:

1. Camera function - expo, expo-camera
2. Get image and video files from user's library - media-picker, expo
3. Chache the config data at assets directory while app building (fonts, background image... etc) - config, local-storage
4. Running tensorflow.js model on React-Native environment - react-native, local-storage, redux-toolkit, config
5. Optimize the data from user which can be interactive with tensorflow library - media-picker, tensorflow.js, typescript
6. Check a prediected result from tensor API - tensorflow.js, util.fs, util.promisfy
7. Draw the result value on User Interface by graphical animation - Skia, re-animated


# Check the Results

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