Chat Analysis and Spam Detection of WhatsApp Using Machine Learning

In recent years, the WhatsApp app has been among the most effective means of communication. Conversations of various kinds that occur in a group of individuals and are centered on a variety of subjects are included in WhatsApp chats. This web application aims to provide a detailed analysis of chats between users of a particular group and two individuals. Regardless of the topic on which the conversation is based, this web application can also be used to detect spam messages. This web application displays the total number of messages and the graph of the month line, as well as the most frequently used words and the active participants of the conversation. This web application also detects spam messages sent by a person and shows the total number of spam messages in a particular chat. The benefit of this tool is that it has been developed using straightforward Python modules such as Pandas, Streamline, Seaborn, and Word Cloud, as well as machine learning algorithms that are used to create data frames and generate various graphs that are then displayed in the application. These algorithms are effective and resource-light, making them suitable for use with large datasets.