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### Usage
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### User Interface
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The UI is available either via display if installed, or via http://pwnagotchi.local:8080/ if you connect to the unit via `usb0` and set a static address on the network interface (change `pwnagotchi` with the hostname of your unit).
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* **CH**: Current channel the unit is operating on or `*` when hopping on all channels.
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* **APS**: Number of access points on the current channel and total visible access points.
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* **UP**: Time since the unit has been activated.
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* **PWND**: Number of handshakes captured in this session and number of unique networks we own at least one handshake of, from the beginning.
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* **AUTO**: This indicates that the algorithm is running with AI disabled (or still loading), it disappears once the AI dependencies have been bootrapped and the neural network loaded.
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### Training the AI
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At its core Pwnagotchi is a very simple creature: we could summarize its main algorithm as:
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@ -95,17 +107,6 @@ reward = h + a + c + b + i + m
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By maximizing this reward value, the AI learns over time to find the set of parameters that better perform with the current environmental conditions.
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### User Interface
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The UI is available either via display if installed, or via http://pwnagotchi.local:8080/ if you connect to the unit via `usb0` and set a static address on the network interface (change `pwnagotchi` with the hostname of your unit).
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* **CH**: Current channel the unit is operating on or `*` when hopping on all channels.
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* **APS**: Number of access points on the current channel and total visible access points.
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* **UP**: Time since the unit has been activated.
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* **PWND**: Number of handshakes captured in this session and number of unique networks we own at least one handshake of, from the beginning.
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* **AUTO**: This indicates that the algorithm is running with AI disabled (or still loading), it disappears once the AI dependencies have been bootrapped and the neural network loaded.
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### BetterCAP's Web UI
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