Skip to main content

Twitter Integration in your ANDROID Application Part2


Application :

Note : You’ll need to include these libraries into your own project if you want to enable the Twitter integration.
 Create New Android Project :

 Create Class name : _constant 


In Your Main Activity class :





Create new Class Name :


Comments

  1. Am not performing twitter into app. so can you send me this full project
    on android.developer20@gmail.com

    ReplyDelete

Post a Comment

Popular posts from this blog

Multi-Selection ListView ANDROID with CheckBox PART-2

Check Below Code : mainActivity.java package com.example.listviewcheckbox; import java.util.ArrayList; import android.app.Activity; import android.content.Context; import android.graphics.Bitmap; import android.os.Bundle; import android.util.Log; import android.view.LayoutInflater; import android.view.Menu; import android.view.View; import android.view.View.OnClickListener; import android.view.ViewGroup; import android.widget.BaseAdapter; import android.widget.CheckBox; import android.widget.ImageView; import android.widget.ListView; import android.widget.TextView; import android.widget.Toast; public class MainActivity extends Activity { private ListView listview; ArrayList<String> items = new ArrayList<String>(); private int count; private boolean[] thumbnailsselection; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(...

Jev: The Decision Layer Cutting AI Agent Costs

The expensive part of an AI agent usually isn't the final answer: it's the string of small decisions behind it. Every tool pick and "are we done yet" check is its own LLM reasoning call, and agent loops make dozens per task. Jev is a typed decision layer built to replace exactly those calls. Here's what that looks like inside a personal finance agent answering a spending question, and what it's worth evaluating for your own MCP stack. Key Takeaways Jev never executes anything: it only routes, labels, or checks; your existing LLM and code still do the real work. In a finance agent, it turns a spending question into a routed, labeled, fact-checked answer without extra reasoning calls. Adoption is shadow-mode first: test it against your current routing before it touches production traffic What Is Jev, and Why Are AI Teams Adopting It Now? Jev is a fast, typed decision model: send it a state and bounded questions, and it answers each in one of three fixed shapes: ...

Connecting mysql Database in ANDROID using PHP & JSON

 To implement this tutorial you should have basic knowledge of how to run PHP script and start server.  If we talk about client-server architecture, client is Android device and in server side there is a combination of PHP Script and MySQL. In short, PHP Script sits in middle as shown in image. Lets suppose that we have a MySQL database named Employee, and a table int created, with the following SQL: CREATE TABLE `employee` (   `emp_id` int(11) NOT NULL auto_increment,   `emp_name` varchar(100) NOT NULL,   PRIMARY KEY  (`emp_id`) ) ENGINE=InnoDB  DEFAULT CHARSET=latin1 AUTO_INCREMENT=5 ; The PHP code will be very simple: Now Create Android Project :  The Android part is only a bit more complicated: -use a HttpPost to get the data -convert response to string -parse JSON data in to List In Your First Activity : O/P :