Anger Translator

In this project, the team imagines one possible future scenario of cubical office culture, where every employee is being constantly monitored for angry reactions. Swift action will be taken against them in order to maintain overall maximum productivity. Anger Translator is one product under this scenario.

Anger Translator is a Gmail plugin that transforms negative gestures into positives sentences that can be written in their work email. It utilizes machine learning technology to detect employee’s angry gestures and automatically offers some suggestions on input, hence stops any possible inputs that could potentially contain negative emotions.

The project was completed using ml5 to train three different gestures so that the machine could recognise each gesture and provide various corresponding text outputs for people to choose from.