Smart Fan
The Project
Smart Fan is an interactive project that uses machine learning to control a fan based on how you're feeling. Built using Machine Learning for Kids and Scratch, the system understands simple text input like "hot" or "cold" and responds by turning the fan on or off. For example, when you click the green flag, the program asks how you're feeling. If you type "hot," the fan turns on. If you type "cold," it turns off—just like having a fan that understands your comfort! The idea was inspired by the concept of smart homes and voice-controlled devices. We wanted to create a simple but fun version using machine learning that could respond to natural human input. It’s a great way to learn how AI can be used to make everyday tasks more convenient and personalized. The biggest challenge was training the model to understand different ways people might express being hot or cold. We had to input many examples of phrases for both "Fan On" and "Fan Off" to help the model recognize the intent correctly. Making sure it worked well with various wordings and was easy to use in Scratch took some trial and error.
