; font-family: Roboto, Arial, sans-serif; font-size: 14px; white-space: pre-wrap; background-color: rgb(249, 249, 249);](learn how to build a tensorflow model on Techable Machine and then run it on flutter app.color: rgb(13, 13, 13); font-family: Roboto, Arial, sans-serif; font-size: 14px; white-space: pre-wrap; background-color: rgb(249, 249, 249);](
color: rgb(13, 13, 13); font-family: Roboto, Arial, sans-serif; font-size: 14px; white-space: pre-wrap; background-color: rgb(249, 249, 249);](Source code : [https://github.com/theindianappguy/machine_learning_flutter_appfont-size: 1rem; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";](https://github.com/theindianappguy/machine_learning_flutter_app)
Youtube Tutorial : [https://www.youtube.com/watch?v=-5kUv47xKy0font-size: 1rem; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";](https://www.youtube.com/watch?v=-5kUv47xKy0)
Here is how it works when we will press the floating action button we will select an image file and our model will tell if it is a dog or a cat
 click "font-size: 1rem; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";](get startedfont-size: 1rem; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";](then select Image Project
; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 1rem;](https://www.kaggle.com/tongpython/cat-and-dog)

Step5: Create a assets folder and add the file which we download , (obviously first extract) you will have two file one is model and the other is labes then add this in pubspec.yaml file

Thanks, have a great day aheadSanskar Tiwari