Logical Fallacy Detector

Logical Fallacy Detector is a service and mobile app that analyses the text and shows what kind of fallacies it found there.

Mobile application allows user to analyse their text in search for logical fallacies. It does a ‘call to the cloud’ to detect logical fallacies in customer’s text. Current version of the app is written in Flutter and published on the google playstore.

Twitter bot @makesensenews1 analyses most of twits from australian news agencies, and daily reposts the twit that has highest concentration of logical fallacies replies. (see https://twitter.com/makesensenews1). Twitter bot @falldetector1 can analyse other twit’s text and tweet what’s been detected. (see https://twitter.com/falldetector1).

Logical Fallacies Website: Some descriptions, examples, statistics and news. Done in markdown with Hugo.

Designed and implemented AI model for detecting logical fallacies. The set of microservices runs on this domesticated baremetal k8s cluster. It is also a platform and a workhorse for my other experiments with AI and microservices. Built with second-hand DELL USFF desktops and extra RAM. It’s quiet, cheap, efficient, nice-looking and quite reliable.