
Today let's learn how to build a tensorflow model on Techable Machine and then run it on flutter app.
Youtube Tutorial : 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

For this first we will Create a new flutter project, then remove all the boiler plate code in the main.dart in lib
Now first lets build our model for this we will use Teachable Machine it is a web platform by google where we can create model and can test, and export to run on mobile

Step2: There will be two class class1 & class 2 rename them to cat and dog, then now we need images to train our model which you can get here https://www.kaggle.com/tongpython/cat-and-dog

then upload the images which we download for cat and dog respectively
Step3: Click train Model, let it train don't close or switch tab
Step4: Click Export Model

Step5: Click on Download my model, it will convert and download the model
now we have the model lets work on Flutter app
Step1: Visit the build.gradle file in app there inside android{} add this

Step2: Make sure the minSdkVersion is 19

Then now time to get packages
Step3: Get these packages

Step4: Code for main.dart copy from here https://github.com/theindianappguy/machine_learning_flutter_app/blob/master/lib/main.dart
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

Now run, Hurray we have finally create a Flutter app that runs Tensorflow lite model
If you like the blog and it helped then do consider Recommending me on Linkedin for respective skills https://www.linkedin.com/in/lamsanskar/
Thanks, have a great day ahead
Sanskar Tiwari