The MindfulCode Blogs

In this post, we're going to set up the android studio for flutter - Google’s most awaited UI tool kit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase.  So a single codebase for making an application for multiple platforms. Step 1: Download flutter SDK from flutter.dev and after extracting it place the flutter folder inside it at your desired location like this:- Step 2: Open the terminal and Set the path up to the bin folder inside flutter:-  export PATH=$PATH:/home/himanshu/Desktop/fluttersdk/flutter/bin Step 3: Download java 8 and set JAVA_HOME and JRE_HOME path. Run this command in terminal:- sudo apt install openjdk-8-jdk openjdk-8-jre It will download the java 8 package in /usr/lib/jvm/ and now set the JAVA_HOME and JRE_HOME path up to this location for this, Run this command in the terminal:- export JAVA_HOME=/usr/lib/jvm/java...

In this post, we're going to generate a reply on analyzing previous messages in android studio using the ml kit of the firebase. This is the output after you are done with all step: So, now make it happen :) Step 1: Add Firebase to your android project: I recommend you to see  how to add firebase to the android project in 5minutes  to know how to add it or if you already add it then you can move on to 2nd Step. Step 2: Add this dependency for the ml kit android libraries to your app-level build.gradle file:   implementation 'com.google.firebase:firebase-ml-natural-language:22.0.0'   implementation 'com.google.firebase:firebase-ml-natural-language-smart-reply-model:20.0.7' as shown below and then click on Sync Now: Step 3: Design the layout of the activity: <? xml version ="1.0" encoding ="utf-8" ?> <RelativeLayout xmlns: android ="http://schemas.android.com/apk/res/android" android :layout_...

In this post, we're going to translate the text from one to another language using ml kit of a firebase in android studio. We're translating to English but you can translate to any language you required So, This is the output after you are done with all step: So, now make it happen :) Step 1: Add Firebase to your android project: I recommend you to see  how to add firebase to the android project in 5minutes  to know how to add it or if you already add it then you can move on to 2nd Step. Step 2: Add this dependency for the ml kit android libraries to your app-level build.gradle file:   implementation 'com.google.firebase:firebase-ml-natural-language:22.0.0'   implementation 'com.google.firebase:firebase-ml-natural-language-translate-model:20.0.7' as shown below and then click on Sync Now.: Step 3: Design the layout of the activity: <? xml version ="1.0" encoding ="utf-8" ?> <RelativeLayout xmlns: andr...

In this post, we're going to identify the language of text using a firebase ml kit in an android studio. This is the output after you are done with all step: The String used is a dummy text in Spanish and es is language code for the Spanish language. The output will be in the  BCP-47 Language Code . See the  complete list of supported languages . So, now make it happen :) Step 1: Add Firebase to your android project: I recommend you to see  how to add firebase to the android project in 5minutes  to know how to add it or if you already add it then you can move on to 2nd Step. Step 2: Add this dependency for the ml kit android libraries to your app-level build.gradle file: implementation 'com.google.firebase:firebase-ml-natural-language:22.0.0' implementation 'com.google.firebase:firebase-ml-natural-language-language-id-model:20.0.7' as shown below and then click on Sync Now. Step 3: Declare the String and design the layout: We'...

In this post, we're going to detect and track an object in an image using a firebase ml kit in an android studio. This is the output after doing all the steps: So, now make it happen: Step 1: Add Firebase to your android project: I recommend you to see  how to add firebase to the android project in 5minutes  to know how to add it or if you already add it then you can move on to 2nd Step.  Step 2: Add this dependency for the ml kit android libraries to your app-level build.gradle file: implementation 'com.google.firebase:firebase-ml-vision:24.0.1' implementation 'com.google.firebase:firebase-ml-vision-object-detection-model:19.0.3' as shown below and then click on Sync Now. Step 3: Design the layout of the activity: <? xml version ="1.0" encoding ="utf-8" ?> <RelativeLayout xmlns: android ="http://schemas.android.com/apk/res/android" android :layout_width ="match_parent" android :la...