BehAIv

Behaiv is a tool that helps users to navigate faster through the app. Largely inspired by app suggestion in IOS.

Predict what users want to open and take appropriate actions

How to use in Android?

1. Add dependency
2. Instantiate BehAIv object in ApplicationContext
3. Select one of a Kernel types
   1. DummyKernel doesn't do any computations, only suggest most similar result by comparing count of steps
   2. RNNKernel uses Recurrent Neural Network to specify actions.
   3. RemoteKernel, sends data to a API, depending on type of an API receives suggested action or receives model
4. Set threshold after which Behaiv can start suggesting
5. Register each view that can be tracked and opened by implementing interfaces
   1. InitiableNode is a type of view that can initiate capturing of features
   2. ActionableNode is a type of view that can be opened by Behaiv, as well as capture labels
   3. RoutableNode is a type of View that only cannot be opened but only route into next Views
   4. ConditionableNode is a type of View which will perform additional actions before proceeding
6. Provide external factors sich as GPS, Wifi/Bluetooth and headphons info.
   1. Use GeoProvider for adding GPS feature into prediction
   2. Use NetworkProvider for adding Wifi, Bluetooth and Network features into prediction
   3. Use HeadsetProvider to include headphones feature into predcition
   4. There's more options like Weather and Firebase provides, see more at (TODO)
   5. Use SyntheticProvide to include custom self-made features into prediction (e.g )
7. Model uses "Continuous learning" so it will be trained as long as more features will arrive. To see model in action you need to wait amount of examples reach threshold.