University of Michigan - Ann ArborCupertino, CA14 followers18 repositories
Repositories
IOS app that uses TensorFlow to create an object detection model that recognizes different objects in the camera feed. If the model can detect a hand it screenshots the hand and passes this image to a CoreML model that recognizes the character that was signed in American Sign Langauge and then it is displayed on screen and using text to speech, repeated back to the user. Another functionality is the speech to text which allows for 2-way communication for people with hearing disabilities aswell as those without.
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Containerization is a Swift package for running Linux containers on macOS.
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A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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creates an apple watch app that gets the accelerometer and gyroscope data and makes a Machine Learning model that uses the sensor data and predicts your action
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Uses machine learning and augmented reality aswell as image to text in order to offer help to those with visual disabilities. Has simple object detection to detect surroundings, locates text found in images and vibrates back to user, translates sign langauge to english, and uses Augmented Reality to find distance from user to any object. All features have text to speech to repeat the output to those with visual disabilities
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Music generation with Keras and LSTM
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rapidly takes images and saves properly into assigned folders
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Submission for HackSwiftly
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