Ninth Grade, Artificial Intelligence Science Projects (24 results)
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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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Sentiment analysis helps us understand the emotions behind text, such as whether people feel positive, negative, or neutral about a topic. It is useful for analyzing opinions on social media, reviews, or other text data. In this project, you will gather text data on a topic of your choice and use a sentiment analysis tool called VADER (Valence Aware Dictionary and sEntiment Reasoner).
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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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Global sea levels are rising, but modeling and predicting them can be challenging with more and more extreme weather events. Can we use machine learning to track and predict sea level changes? In this science project, you will use previously collected data and machine learning to see if you can predict future relative sea level changes.
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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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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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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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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 Artificial Intelligence (AI) can be used to improve human health and medicine? Computers can now identify human joints as key points to track our body movements. They can then use this information along with training data sets to show us if we perform exercises safely, to prevent us from getting injured. Create your own data set and test out if your algorithm can reliably detect good and bad exercise form.
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