This application is a guessing game where the computer tries to guess a number between 1 and 100 that the user is thinking of. The computer's logic is based on binary search. The user's feedback on the computer's guesses (higher, lower, or correct) is predicted using a model.

To clone and run the exemplar:

1. Click the green Use this template button, then choose Create a new repository.
2. On the Create a new repository page, choose your GitHub username from the Owner dropdown, and enter a name for your repository. This creates a new repository on your account with same directory structure, branches, and files as the original.
3. Click the Code button, then copy the HTTPS link.
4. In VS Code, open the Source Control tab.
5. Click the Clone Repository button, then paste the link in the command palette that appears.
6. The repository will then be copied to your computer, and you'll be prompted to open the directory.
7. After opening the directory, open and run App.java to run the program.

The GuessingGame class interfaces with all the classes and serves as the main driver of the game experience.

Suggested Modifications and New Features:

• Implement save and resume game functionality.
• Introduce user profiles or game history tracking.
• Offer in-game tutorials or guidance for newcomers.

The MainScene class constructs the primary game interface, which displays prompts, receives user responses, and presents computer predictions.

Suggested Modifications and New Features:

• Introduce robust error handling and user-friendly messages.
• Add features such as scoreboards or multiplayer modes.

The GameOverScene class displays the game's outcome and provides options for restarting or exiting.

Suggested Modifications and New Features:

• Display a summary of game statistics.
• Introduce varying game-over graphics or animations based on outcomes.

The Loading class manages the loading animations and labels shown during camera initialization or data processing.

Suggested Modifications and New Features:

• Introduce different loading animations for variety.
• Display a loading percentage or estimated time remaining.
• Implement a retry or cancel mechanism for prolonged loading times.

The GameLogic class controls the core mechanics of the game, determining the computer's guessing strategy and processing user input.

Implement the following methods in GameLogic.java to incorporate your Teachable Machine model in the app.

binarySearch(String predictedClass)

• Use the predictedClass to determine if the user thinks the guess is too high, too low, or correct.
• If the guess is too high, call guessLower().
• If the guess is too low, call guessHigher().
• If the guess is correct, call guessCorrect().
• If the predictedClass is invalid or doesn't match any of the expected values, return -1.

isGuessCorrect(String predictedClass)

• Check if the predictedClass corresponds to the correct guess (e.g., check if predictedClass equals "stop" or another relevant string).
• Return true if the guess is correct, and false otherwise.

guessHigher()

• Update the left boundary to be the current guess.
• Calculate the new guess as the midpoint between left and right.
• Return the new guess.

guessLower()

• Update the right boundary to be the current guess.
• Calculate the new guess as the midpoint between left and right.
• Return the new guess.

guessCorrect()

• Since the current guess is correct, return the current guess.