Automatic text classification is a crucial method to manage and process vast amounts of textual data in the digital form. This paper illustrates the text classification and text summarization using machine learning techniques and algorithms. An important part of this task is that the input data is in the form of natural language so we must do some preliminary analysis to transform the documents into a uniform structure so that we can train our data using numerical representations. Text Summarization is the process of obtaining the significant information from a text document. Information is extracted from the text document and the summarized report is created and displayed to the user.