Ninth Grade, Artificial Intelligence Science Projects (24 results)
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Do you think you can win tic-tac-toe against an AI player? In this project, you will explore how the Minimax algorithm makes decisions in two-player games such as tic-tac-toe. This project requires little to no coding skill; instead, you will need an open mind and curiosity. Why not give it a try yourself?
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Do you ever wonder if you spend too much time online? How can the amount of time spent on social media influence someone's mental health? What other factors play a role? In this science project, you will investigate which variables correlate with better mental health scores using a machine learning algorithm called the Random Forest algorithm.
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For cancer patients, remission–a period when the signs and symptoms of cancer are reduced or disappear–brings immense relief, but there is often a chance of recurrence, or the cancer coming back. Have you ever wondered how doctors can predict if cancer might come back in some patients? Thyroid cancer, a type of cancer affecting the thyroid gland, has a recurrence rate of about 5-30%. Depending on many factors, some patients may have a higher chance of thyroid cancer recurrence than…
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When you play Connect 4, what strategies do you use to increase your chances of winning? In this project, you will explore how artificial intelligence can make decisions in two-player games such as Connect 4. This project requires little to no coding skill. Instead, you will need patience and an open mind. Why not give it a try yourself?
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Have you ever wondered how your smart devices can recognize and distinguish your face from that of others? In this project, you will explore how to create and modify a facial recognition model using a type of artificial intelligence known as neural networks. This project is designed for beginners and requires little to no coding experience. Ready to give it a shot?
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Litter is not only an eyesore but also a serious threat to wildlife and the environment. While some littering is intentional, much of it occurs accidentally–such as when trash falls from garbage trucks or strong winds scatter waste from bins. Machine learning offers a powerful solution for detecting litter, paving the way for future innovations, including autonomous robots capable of cleaning up our surroundings.
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AI has the power to organize data into categories—even when it is not given clear instructions. In this project, we will create an unsupervised K-Means learning model that organizes songs into distinct groups based on their similarities. The best part? You don't need advanced coding skills; just bring an open mind and a desire to explore the fascinating intersection of music and technology. Are you ready to embark on this exciting journey?
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Given the right data, AI can be good at making predictions. In this project, you will create a KNN machine learning model that tries to predict whether a passenger on the Titanic survived based on multiple factors such as age, sex, and fare price. This project requires little to no coding skill; instead, you will need an open mind and curiosity to learn. Ready to give it a try?
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Ticks are a growing public health concern in North America, as their populations and the diseases they carry, like Lyme disease, are on the rise. But how can we help people identify the ticks they encounter to reduce their risk of infection? With artificial intelligence! In this project, you will gather image data of three different tick species and use a convolutional neural network (CNN) to classify them. You will also apply image augmentation techniques to expand and enhance the dataset,…
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Understanding the water quality of our rivers, streams, and lakes is critical for maintaining healthy ecosystems and sources of drinking water. Dissolved oxygen is one key water quality measurement that impacts aquatic life. But how can we predict how water quality might change in the future so we can intervene to keep our water healthy? With machine learning! In this project, you will gather water quality data for a location of your choice and use a random forest model to predict future…
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