### Instruction:
Implement a Java application that uses the Twitter API to stream tweets containing specific keywords in real-time. The application should store the collected tweets in an SQLite database and provide a simple interface for users to view and filter the stored tweets.


### Response:

To create a Java application that uses the Twitter API to stream tweets containing specific keywords in real-time, you'll need to follow these steps:

1. Set up a Twitter Developer Account and create an App
2. Get your API keys and access tokens
3. Add required dependencies (libraries) to your project
4. Implement the code for streaming tweets and storing them in SQLite database
5. Create a simple interface for users to view and filter stored tweets

Here's a step-by-step guide on how to do this:

### Step 1: Set up a Twitter Developer Account and create an App

1. Go to https://developer.twitter.com/ and sign in with your Twitter account.
2. Apply for a developer account if you don't have one already.
3. Once approved, go to the Dashboard and click "Create an app".
4. Fill out the required information and submit the form.

### Step 2: Get your API keys and access tokens

After creating your app, go to the "Keys and Tokens" tab and note down the following details:

- API Key
- API Secret Key
- Access Token
- Access Token Secret

You will use these credentials in your Java application to authenticate with the Twitter API.

### Step 3: Add required dependencies (libraries) to your project

Add the following libraries to your project using Maven or Gradle:

1. Twitter4J - A library to interact with the Twitter API
2. SQLite JDBC Driver - A library to connect and work with SQLite databases

For Maven, add the following dependencies to your `pom.xml` file:

```xml
<dependencies>
    <dependency>
        <groupId>org.twitter4j</groupId>
        <artifactId>twitter4j-stream</artifactId>
        <version>4.0.7</version>
    </dependency>
    <dependency>
        <groupId>org.xerial</groupId>
        <artifactId>sqlite-jdbc</artifactId>
        <version>3.34.0</version>
    </dependency>
</dependencies>
```

For Gradle, add the following dependencies to your `build.gradle` file:

```groovy
dependencies {
    implementation 'org.twitter4j:twitter4j-stream:4.0.7'
    implementation 'org.xerial:sqlite-jdbc:3.34.0'
}
```

### Step 4: Implement the code for streaming tweets and storing them in SQLite database

Create a new Java class called `TwitterStreamApp` with the following content:

```java
import twitter4j.*;
import twitter4j.conf.ConfigurationBuilder;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;

public class TwitterStreamApp {

    private static final String DB_URL = "jdbc:sqlite:tweets.db";

    public static void main(String[] args) throws SQLException {
        // Set up the Twitter API credentials
        ConfigurationBuilder cb = new ConfigurationBuilder();
        cb.setDebugEnabled(true)
                .setOAuthConsumerKey("YOUR_API_KEY")
                .setOAuthConsumerSecret("YOUR_API_SECRET_KEY")
                .setOAuthAccessToken("YOUR_ACCESS_TOKEN")
                .setOAuthAccessTokenSecret("YOUR_ACCESS_TOKEN_SECRET");

        // Initialize the Twitter Stream
        TwitterStreamFactory factory = new TwitterStreamFactory(cb.build());
        TwitterStream twitterStream = factory.getInstance();

        // Set up the listener for incoming tweets
        StatusListener listener = new StatusAdapter() {
            @Override
            public void onStatus(Status status) {
                System.out.println(status.getUser().getScreenName() + ": " + status.getText());

                try (Connection connection = DriverManager.getConnection(DB_URL)) {
                    String sql = "INSERT INTO tweets(username, text) VALUES (?, ?)";
                    PreparedStatement pstmt = connection.prepareStatement(sql);
                    pstmt.setString(1, status.getUser().getScreenName());
                    pstmt.setString(2, status.getText());
                    pstmt.executeUpdate();
                } catch (SQLException e) {
                    System.err.println(e.getMessage());
                }
            }

            @Override
            public void onException(Exception ex) {
                ex.printStackTrace();
            }
        };

        // Start streaming tweets with specific keywords
        twitterStream.addListener(listener);
        FilterQuery query = new FilterQuery();
        query.track("keyword1", "keyword2"); // Replace with your desired keywords
        twitterStream.filter(query);
    }
}
```

Replace the placeholders `YOUR_API_KEY`, `YOUR_API_SECRET_KEY`, `YOUR_ACCESS_TOKEN`, and `YOUR_ACCESS_TOKEN_SECRET` with your actual Twitter API credentials.

### Step 5: Create a simple interface for users to view and filter stored tweets

You can create a simple command-line interface or a GUI-based application to let users view and filter the stored tweets. For this example, we'll use a basic command-line interface:

Create a new Java class called `TweetViewer` with the following content:

```java
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.Scanner;

public class TweetViewer {

    private static final String DB_URL = "jdbc:sqlite:tweets.db";

    public static void main(String[] args) throws SQLException {
        Scanner scanner = new Scanner(System.in);

        while (true) {
            System.out.println("\nEnter a keyword to search for tweets or type 'exit' to quit:");
            String input = scanner.nextLine();

            if ("exit".equalsIgnoreCase(input)) {
                break;
            }

            try (Connection connection = DriverManager.getConnection(DB_URL)) {
                Statement stmt = connection.createStatement();
                ResultSet rs = stmt.executeQuery("SELECT * FROM tweets WHERE text LIKE '%" + input + "%'");

                System.out.println("\nTweets containing '" + input + "':");
                while (rs.next()) {
                    System.out.println(rs.getString("username") + ": " + rs.getString("text"));
                }
            } catch (SQLException e) {
                System.err.println(e.getMessage());
            }
        }

        scanner.close();
    }
}
```

Now, run the `TwitterStreamApp` to start streaming and storing tweets in real-time. In a separate terminal or command prompt, run the `TweetViewer` class to view and filter stored tweets.

Please note that this example is for educational purposes only and should not be used as-is in production environments. You may need to handle exceptions, improve security, and optimize performance according to your specific requirements.