Another @crockpotveggies experiment.
Tinderbox is an experiment built on the Tinder app API. Tinderbox is a full Tinder solution that learns who you're attracted to (using machine learning) and also has a built-in bot that can start conversations. It is a full desktop interface for Tinder.
Tinderbox is built on top of Play! 2.2 and uses Akka, Spark, and other libraries for face detection in the background.
First read the "Running" section below to learn how to start the app.
Tinderbox starts up a server that is accessible in your browser at http://localhost:9000/. Once you're inside, note that there a bot running in the background. If you watch the logs in terminal, it will show you debug statements about the moves the bot is taking. There is an action log available in the main interface.
Most of Tinder's primary functionality has been re-created in Tinderbox. Note that if Tinder updates or changes its API it could potentially break this app.
Commands to run this Application:
- sbt clean
- sbt compile
- sbt run
Note:
Scala Build Tool (SBT) is the preferred method of running this applications. You will need to install SBT before running the app. SBT will automatically download Play! and also pick up changes in the code if you wish to use them.
You will need to authorize using a Facebook access_token and also with your Facebook ID. The login page has a link for you to create an access token. Copy the token from Facebook's URL and paste it in the Tinderbox login.
Tinderbox will automatically attempt to find your Facebook ID once you copy and paste your access_token. If it doesn't appear within one second you'll need to manually enter it. For convenience, you can also paste the entire URL from the Facebook authentication URL and the app will auto-extract your access_token.
Currently I'm not offering any support, but if there's enough interest I'd consider helping others contribute to the code.
- Find a bug? It's OK to file an issue - I may not follow up on it.
- Want a feature? Please don't open an issue, instead contribute and open a pull request.
Tinderbox attempts to make a prediction based on profiles you've previously liked. This is done using elementary Machine Learning methods. Tinderbox will examine previous likes/dislikes and develop a model based on colors found within faces of profiles. The more likes/dislikes made, the more accurate the model will become.
Currently, the prediction being made is very elementary and uses EigenFaces for facial analysis. Eigenvector values are developed from pixel models of each yes/no model of faces and compared against a new recommendation undergoing analysis. Whichever image is closest to either a yes/no model determines whether a "like" or "dislike" will be made. Each face is normalized and grayscaled before being added to the EigenFaces model.
The recommendation system could use some work since it is useful to combine EigenFaces methods with other analysis systems. If you're finding that auto likes/dislikes are not meeting your standards, you can erase the facial modeling data using the "Clear Models" button on the dashboard.
Tinderbox has built-in automated messaging. The built in "Tinderbot" looks for conversations that fit patterns within pre-set message trees. The tree directions are based on positive or negative sentiment, and when the conversation no longer fits the tree the bot will notify the user to take over the conversation.
Tinderbox is the first bot I've built to interact on my behalf. Since it is a tool that automates a lot of the Tinder experience, be forewarned not everyone appreciates being met through a robot. And they certainly don't appreciate if you decide to use this code to spam the Tinder world.
Tinderbox is distributed under the Creative Commons Attribution-NonCommercial 3.0 license, a human readable version is available at https://creativecommons.org/licenses/by-nc/3.0/.
Because the Tinder API hasn't been officially released as a public API, Tinderbox is licensed for non-commercial reasons only. I have no affiliation with Tinder, and you use this repository at your own risk. Please think before mixing this code with something that could be considered abusive of the Tinder API.