All Coding Projects (35 results)
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When you think of robots, you might think of things made out of plastic or metal...but what about living materials? Living materials have one big advantage: they can heal and repair themselves if they get damaged. Since it might not always be easy to repair a damaged robot (for example, a robot on another planet), some scientists want to figure out how to include living, or biological, materials in them to create "biohybrid" robots. In this project, you will create your own simple biohybrid…
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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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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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Are you ever annoyed by a poor Wi-Fi signal? What about when you try to send a text message, and it just won't go through because of poor cell service? Have you ever wondered what factors affect the strength of your signal and the speed of the connection? If so, this project is for you!
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Have you (or anyone you know) ever sprained an ankle or broken a leg? It might have taken some practice to walk again after recovering from an injury. Some people might even need to work with a physical therapist. In this project you will program a wearable device to recognize when someone is limping instead of walking normally.
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Wildfires can devastate communities, destroying homes and creating smoke that can affect air quality over huge areas. A wildfire could start from a natural cause like a lightning strike, or humans being careless with cigarette butts or campfires. What if you could predict how a wildfire will spread to help give people an advanced warning to get out of harm's way? Can forest management techniques like controlled burns—intentionally setting smaller, more controlled fires—help reduce…
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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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Have you ever wondered what the surface of Mars is really like close up? Are you wondering what the Mars rovers get to see and experience? Some parts of Mars look smooth and sandy, whereas others are covered in rocks and rough terrain. In this project, you’ll step into the role of a planetary scientist and use real Mars rover images and Python code to detect, measure, and compare rocks across different types of Martian terrain. Here you’ll explore how image processing can help…
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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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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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