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Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).

License: MIT License

Python 100.00%
tinder deep-learning machine-learning

deep-learning-tinder's Introduction

Solving Artificial Intelligence one step at a time ๐Ÿ‘‹

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deep-learning-tinder's Issues

Select your own best pictures

Hey,

I really appreciate your work ! Congralutation !

I would like to know if there is an issue to select your best picture to make your profil attractive ?

Curious about the model's prediction methods

Hello!

I am curious about the "under the hood" mechanics of the model to learn what parts of the photo is making the algorithm select "like" rather than "nope." It seems like the algorithm picks up on photo qualities like how centered or blurry is the photo subject is, but I'm curious of how much algorithm accounts for personality attributes when assigning a confidence percentage (i.e. the photo's background is outdoors or the photo subject is smiling). I envisioned the formula being something like 0.5*(outdoors_dummy_variable) + 0.46*(smiling_dummy_variable) = 0.96 for a confidence percentage of 96%. Do you have any insight on how I could find this in the Tinder Deep Learning model that you created?

I hope you're having a good December and thanks in advance!

Issues with getting token

Hi !

Thanks for all the hard work.

I have an issue when running :"python main.py"

AT line : fb_auth_token = get_access_token(credentials['FB_EMAIL_ADDRESS'], credentials['FB_PASSWORD'])
The error is : TooManyRedirects: Exceeded 30 redirects.

Any chance you can have a look at it ?

Many thanks,

fetch token doesn't work

I'm getting this when running main.py: werkzeug.exceptions.BadRequestKeyError: 400: Bad Request
What details do you need to get it fixed?

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