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Show HN: I've trained my neural network to play Tinder
10 points by atum47 67 days ago | hide | past | web | favorite | 5 comments
The video is here: https://www.youtube.com/watch?v=Ohs6sgmVNYI

This video is a prof of concept. I always wanted to see if I could make my Neural Network play tinder for me. So I gather some pictures, created a fake tinder app (so I don't expose real people) and began the training.

For this experiment I'm using scrcpy to control my cellphone and pyautogui alongside my neural network. The script is very simple:

Get the image, run it trough a neural network, move the mouse to the output (yes or no) and click.

There's a lot of hard coded things in my code, but as I said earlier, it is just a prof of concept.

The code is pretty much garbage, but here's it if anyone care to look:

import json

from PIL import Image, ImageChops

import numpy as np

from Dejavu import Dejavu #this is my neural network (soon on GitHub)

import pyautogui

import time

data = json.loads( open('nn.json','r').read() )

nn = Dejavu()

nn.load(data)

choices = { 0: (900,565), 1: (1055,565) }

pyautogui.moveTo(850, 210) pyautogui.click()

        # I know there's only 6 pictures on my fake tinder app
 for i in range(7):

  img = pyautogui.screenshot().convert('L')

  img = img.crop( (810,210, 1150, 500) )

  img.thumbnail( (36,36) )

  arr = np.array(img).reshape(-1)

  arr = np.pad(arr, (0,36*36-arr.shape[0]), mode='constant')

  result =  nn.predict( arr.tolist() )[0].tolist()

  result = result.index( max(result) ) 

  pyautogui.moveTo( choices[result] )

  pyautogui.click()
 
  if i < 6:
   time.sleep(3)



Here's the fake tinder app:

https://victorribeiro.com/faketinder/


the neural network I'm using is the same I used in this project:

https://github.com/victorqribeiro/digitRecognition

I'm planning on realising it soon


friendly reminder that my script would work with pictures of guys too, in case any girl wanted.

you just have to create two folders: one with pictures of people that you consider attractive and one with pictures of people you don't


Funny!


Thanks!




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