  This paper proposes a feedback mechanism to 'break bad habits' using the
Pavlok device. Pavlok utilises beeps, vibration and shocks as a mode of
aversion technique to help individuals with behaviour modification. While the
device can be useful in certain periodic daily life situations, like alarms and
exercise notifications, the device relies on manual operations that limit its
usage. To this end, we design a user interface to generate an automatic
feedback mechanism that integrates Pavlok and a deep learning based model to
detect certain behaviours via an integrated user interface i.e. mobile or
desktop application. Our proposed solution is implemented and verified in the
context of snoring, which first detects audio from the environment following a
prediction of whether the audio content is a snore or not. Based on the
prediction of the deep learning model, we use Pavlok to alert users for
preventive measures. We believe that this simple solution can help people to
change their atomic habits, which may lead to long-term benefits.
