Ml android app | image recognition android app | machine learning | deploy ml android

in this video we have created a android app which can recognize the images it means if you show the image of dog it is going to tell you the breed of dog and if you show any fruit is it going to tell you which fruit it is. similarly it can predict 1000 categories. In this video we have also learnt how to deploy deep learning model on the android app by using android studio. Specifically we learnt to deploy tfilte models. I have tried to show everything step wise and we have first seen how to get the model and then building gui for the app and after all deploying the model. tflite article :- we have used latest version of Android studio to deploy TF lite it also we used kotlin language to back our app. timestamps 0:00 - what exactly we’ll develop 0:40 - Getting model 1:40 - lets start new project 2:25 - Build GUI 4:28 - adding model and label 6:20 - BACKEND Selecting and showing the image 10:35 - coding PREDICTION part 14:30 - TESTING 1 15:10 - Getting Max category 18:40 - FINAL TESTING code : password - 1234 LIKE SHARE SUBSCRIBE = support :) contact me : 📞 facebook : twitter 🐦 : github : discord : linkedin : youtube ❤️: tags: deploy ml model on android], [], {google:suggestsubtypes:[[457]], deploy ml model on android, image classification, image recognition, tensorflow lite android, android app, image recognition machine learning, machine learning, machine learning projects, object detection android studio, tensorflow lite android tutorial, android studio, android studio app, instruction set of 8086 microprocessor, object detection, tensorflow image recognition, tensorflow lite