Description

Building a Rock Paper Scissors AI using Tensorflow and OpenCV with Python

The basis of this project was to experiment with Deep Learning and Image Classification with the aim of building a simple yet fun iteration of the infamous Rock Paper Scissors game.

While building any sort of Deep Learning application there are 3 major steps :

1. Collecting and Processing Data

2. Building a suitable AI Model

3. Deployment for use

we’ve used the DenseNet121 model for feature extraction whose outputs will eventually be entered in Dense Neural Network.