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ContextSensitiveApp

Context-sensitive application using ML is developed in scope of the lecture Context Sensitive Systems.

This app consists of three parts:

  1. Record App: App for collecting data from the smartphone accelerometer and upload to edge-ml cloud for three classes:
    1. Reading: just looking on the smartphone
    2. Chatting: the same orientation but typing with keyboard
    3. Calling: Keeping smartphone near the ear and speaking
  2. Python data analysis with typical ML Pipeline:
    1. Data Cleaning and Feature Extraction
    2. Model Selection and Feature Selection
    3. Optimization of hyperparameters
    4. Deployment
  3. sayMyActionApp:
    1. App for prediction of action using the model from step 2
    2. To test, go to https://codesandbox.io/s/saymyactionapp-6dx84s?file=/index.html

NB: Tested only on iOS devices

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Context sensitive application using ML

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