This is an AI Rock Paper Scissors game made with python.
This game is designed in three parts :
1.) Gathering the dataset and training the model : The dataset used here was downloaded from kaggle and had three classes (Rock, Paper, Scissors). The model was trained on that dataset with a val accuracy of 99.2%
2.) Creating a Haar Cascade classifier for detecting hand : The naive approach of making predictions on based of a specific ROI was unappealing, so I created a haar cascade classifier for a hand with 3 gestures upto 10th generation.
3.) Using Markov Chains to make the computer Intelligent : I used Markov chains to make the computer moves intelligent which porvides upto 0.7 winning porbability which is pretty impressive!!