This paper, presents WhatsApp network group chat analysis, using Python programming language. WhatsApp has helped individuals of like minds to create groups for diverse purposes. It has also provided the means for users to send broadcast messages to as many as 256 contacts at the same time. This application has created opportunities for users to make free calls internationally in both audio and video modes. It is a platform that has created an enabling environment for users to communicate with friends, groups and business partners at a cost of only a little internet access. WhatsApp is an instant messaging application which enables users to send and receive messages in real time. The advantage of this tool is that is implemented using simple python modules such as pandas, matplotlib, seaborn and sentiment analysis which are used to create data frames and plot different graphs, where then it is displayed in the flutter application which is efficient and less resources consuming algorithm, therefor it can be easily applied to largest dataset. Irrespective of whichever topic the conversation is based our developed code can be applied to obtain a better understanding of the data. This tool aims to provide in depth analysis of this data which is provided by WhatsApp. The most important thing for a machine learning models is to provide the right learning experience which is indirectly affected by the data that we provide to the model. This information can provide lots of data for latest technologies such as machine learning. WhatsApp chats consists of various kinds of conversations held among group of people. The most used and efficient method of communication in recent times is an application called WhatsApp.
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