Inspiration
Sometimes (most of the times), girls receive really creepy messages from guys on the dating app, Tinder. We wanted to troll some of them back
What it does
The algorithm consists of a machine learning way to detect if messages received from matches pass a threshold of creep level or not. This machine learning method was built on a database of bad pick-up lines. if the message passes a creep threshold, it send a Drake lyric back to the match
How we built it
We used a Tinder package from Github and modified it to only send messages back to matches who sent messages to me. We built the machine learning method using sci kit learn
Challenges we ran into
Integrating with the Tinder API to only run the algorithm when a match sends me a message first
Accomplishments that we're proud of
That we were able to interact successfully with the API and extract the matches sent to me
What we learned
develooped python skills and played around mobile and web apps
What's next for Creepdetect
maybe personalize the response sent back to creepy messages instead of an arbitrary message
Built With
- api
- python
- python-package-index
- tinder
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