For future projects, students might approach things differently based on their learning. They may collect more diverse training data from the start, including images from different angles, lighting conditions, and backgrounds. They might organize data more systematically into folders before uploading. Students could plan their categories and sub-categories more carefully before beginning data collection. They may allocate more time for testing and improvement. Students might also explore additional features like audio data training, create more detailed prompts for AI story generation, or design more interactive features for their AI Assistant using Scratch. The reflection helps students apply their learning to future projects.