RNNs are pretty powerful machine learning models that are being used in plenty of areas. The main aim of RNN is to process the sequential data that is made available to it. Availability of sequential data is found in various domains. Some of its applications in different domains include Machine translation, Speech recognition, Call centre analysis, Prediction problems, Text summarization, Video tagging, Face detection, Image recognition, OCR applications, and Music composition.