Tenth Grade, Artificial Intelligence Science Projects (18 results)
Artificial intelligence (AI) is a branch of computer science that enables computers and robots to perform tasks requiring intelligence. The tasks can be as simple as programming a computer to play an easy game like tic-tac-toe or as challenging as having a computer diagnose and treat a sick patient. Sometimes artificial intelligence is used to get machines to do things that humans already do well, like using spoken language to communicate. Other times AI is used to do tasks that are hard for humans, like predicting how new proteins might fold up into 3D structures and how those structures interact with other nearby proteins.

Machine learning is a subfield of AI where a machine "learns" how to do something without the programming telling it exactly how to deal with every step. In machine learning, a computer is given data from which it builds a model, and that model can repeatedly be trained, tested, and have more data added until it performs well. Companies are using machine learning to build robots that walk, self-driving cars, computers that can compose music, and many other types of technology.
You can try your hand at AI and machine learning with these exciting projects and experiments.
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Have you ever played Minesweeper? Did you start clicking around randomly until you hit a mine? What did you think the numbers meant? Do you think a computer program can play Minesweeper better than a human? In this project, you will explore how to train an AI agent to play Minesweeper.
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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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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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Understanding the different types of celestial objects in our galaxy is important for astronomers. It helps them study how these objects form and evolve, map the night sky, understand the structure of the Milky Way and other galaxies, and identify celestial bodies that might host habitable environments. In this project, you will create a boosted tree model to classify celestial objects based on their spectral characteristics.
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Air pollution is a growing issue, especially in cities, due to the rise of industrial activities, increased fossil fuel consumption from things like car use, and natural events like wildfires. This pollution is measured by the Air Quality Index (AQI), which shows how clean or polluted the air is. But what if we could predict changes in AQI to help communities plan ahead to protect people who are at risk from air pollution? That’s where machine learning comes in. In this project, you will…
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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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Have you ever wondered how your phone or email automatically detects and filters junk messages into spam? This feature helps ensure you focus on the messages that truly matter. In this project, you’ll build your own spam detector using natural language processing (NLP) techniques.
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Getting started with machine learning is like unlocking a new world of possibilities, and the best part is that you don't need to be a computer genius to do it! In this project, you will create a K-Nearest Neighbors (KNN) machine learning model that can predict whether a patient has a benign tumor or malignant breast cancer based on the characteristics of the tumor cell nucleus, such as its radius, perimeter, area, and smoothness.
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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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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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