Identification of peak hour and active member on WhatsApp group using Python

As the internet came out of its infancy, the need for human conversation came out as the next part of its evolution process. With the rise of social media starting especially with the advent of Facebook, human interaction over the internet became instantaneous and smooth. One more addition to this was the development of WhatsApp, which was eventually bought by Facebook. This is a tool that analyses WhatsApp group user data to draw conclusions from it, presenting in the form of an easily understandable graphical representation. It is written in python using Jupiter notebook as a base format for writing the code, along with the use of some external libraries, matplot libraries (for plotting the graphs), and json (to read the json file for telegram group data). This project is coded with the help of a popular and open-source code editor VS – Code by Microsoft. As support to increase openness of the mega-corporations over the data policy, the code of the project is made open source, which can be found at (github.com) to enhance the peer review process and also to increase collaboration among the community, also it will help anyone if he/she wants to take a look at how the data is processed.