- Architected Java image processing application with FIGMA.
- Achieved O(1) access time to enhance project speed.
- Utilized Java's AWT and I/O operations to improve user experience.
- Utilizes Machine Learning for sentiment analysis (e.g., Simple and ML classifiers).
- Dynamic state transitions based on user input with affirmation checking.
- Leverages features like interactive console and file reading for card decks.