Rock Paper Scissor Machine Learning

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Description

• This program is a machine learning program to predict image input from the user. Users will be asked to input a picture of their wrist doing a suit. This program will later give an output in the form of predictions whether the user's suit is rock, paper, or scissors.

• The dataset used to train this machine learning program is 2188 images. I used various libraries in developing this program, such as tensorflow, hard, numpy, matplotlib, shutil, zipfile, etc. This program use convolutional neural network (CNN) concepts with 4 convolutional layers.

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How to Run

1. Open your dedicated folder for this repository and clone it

   git clone https://github.com/malikrafsan/Rock-Paper-Scissor-Machine-Learning.git

2. Upload RockPaperScissorML.ipynb to Google Colab / Jupyter Notebook
3. Run all block programs
4. Upload your suit image and enjoy the prediction :D

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Author

• Malik Akbar Hashemi Rafsanjani