Hand Cricket Game using CNN and MediaPipe

In the era of computer-based games, every other game is being computerized. The work involves implementing a Hand Gesture Based Hand Cricket Game, i.e., Once the player starts playing by keeping his/her video, the hand gestures of the player are recognized and the score of the player is calculated until he gets out of the game or video. It is implemented in two Approaches i.e., first one using own dataset and custom-developed Convolutional Neural Network (CNN) and another using MediaPipe inbuilt model in Python Using OpenCV, Keras, and MediaPipe Packages. The trained CNN gave an accuracy of 0.9767 after ten epochs trained.