Clash Royale AI Card Tracker

Clash Royale AI Card Tracker

Currently, the code is not commented very well. This will change soon.

I wrote a report explaining how this AI Assistant was made. It's tailored towards an non-computer-science audience. Please see: Rough Draft Report

Libraries Used:

• openCV (Image Preprocessing)
• Keras/TensorFlow (Convolutional Neural Networks)
• TkInter (GUI)
• PIL (Mapping images into GUI)

If you still want to see the code for the following:

1. The Convolutional Neural Network Architecture (LeNet).

2. Training the first CNN (Convolutional Nerual Network).

3. Predictions on the first CNN.

4. Live (Real-Time) predictions test on the first CNN, to learn opponent's deck.

5. Training the second CNN (Convolutional Nerual Network).

6. Predictions on the second CNN.

7. Live (Real-Time) predictions test on the second CNN, to know which card my opponent is playing.

8. Both CNN's running together during real-time to predict opponent's card cycle + elixir. (This section also has a lot of code regarding the actual AI application).

9. TkInter GUI

The code can be found here: Clash_Royale_Helper.py