RMDL (Random Multimodel Deep Learning) is an ensemble deep learning approach for classification that combines three model types: a Deep Neural Network (DNN), a Convolutional Neural Network (CNN), and a Recurrent Neural Network (RNN). The library automatically optimizes model architecture to improve robustness and accuracy across different data modalities including text, images, and video. Built on TensorFlow and Keras, it provides a unified interface for training and evaluating multi-model ensembles.