Case Study: AI Tinder Bot

We trained an AI that learns preferences and swiped Tinder

We asked ourselves: Can an AI learn which people you find attractive and thus automate profile matching?

Profile swiping on Tinder is a rather repetitive task: Based on a few pictures and some text, you decide whether you like the person enough to give a positive swipe and potentially match. A task for which an AI would be suitable! So we set about training a Deep Convolutional Neural Network, which learns which profiles you particularly like based on a few hundred Tinder swipes. The AI then analyses the image and outputs an attractiveness score - personalised to the person the AI has trained. With a bit of cunning and trickery, we managed to link the AI to the Tinder database without having to use the Tinder iOS/Android app. After a few days, we had not only successfully automated thousands of swipes, but also received enquiries from international media reporting on our project. We open-sourced the entire source code and showed the world the possibilities but also the dangers of AI.

  • Personalised AI

  • Learns subjective attractiveness from images

  • Published source code

  • International press attention

Benefits intelligent image
Benefits intelligent image
Benefits intelligent image
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Amode Skincare
fhconnect
Bambus Software
innova
CFO Forum Schweiz
swissVR
Cheezy
Facilitysoft
Tracktics
Bambus EDV Consulting
Coinpaper.io
Fahrschule Querbeet
Nachhilfe Lotusacademy
Santenatur
Käch Schüsslerwissen
Service Management Forum Schweiz
Tiershiatsu Schule ME
Swiss Society of Food Science and Technology